WO1997036215A1 - Device in a process system for detecting events - Google Patents

Device in a process system for detecting events

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Publication number
WO1997036215A1
WO1997036215A1 PCT/US1997/003859 US9703859W WO1997036215A1 WO 1997036215 A1 WO1997036215 A1 WO 1997036215A1 US 9703859 W US9703859 W US 9703859W WO 1997036215 A1 WO1997036215 A1 WO 1997036215A1
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WO
Grant status
Application
Patent type
Prior art keywords
process
control
signal
loop
parameter
Prior art date
Application number
PCT/US1997/003859
Other languages
French (fr)
Inventor
Evren Eryurek
Jogesh Warrior
Original Assignee
Rosemount Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

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Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/0275Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B21/00Systems involving sampling of the variable controlled
    • G05B21/02Systems involving sampling of the variable controlled electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA

Abstract

A process device (40) couples to a process control loop (6). The process device (40) receives process signals. A memory (48) in the process device (40) contains a nominal parameter value (78) and a rule (80). Computing circuitry (46) calculates a statistical parameter of the process signal and operates on the statistical parameter and the stored nominal value (78) based upon the stored rule (80) and responsively provides an event output based upon the operation. Output circuitry (42) provides an output in response to the event output.

Description

DEVICE IN A PROCESS SYSTEM FOR DETECTING EVENTS

BACKGROUND OF THE INVENTION

The present invention relates to devices which couple to process control loops of the type used in industry. More specifically, the invention relates to detection of events in a process control system by monitoring process signals.

Process control loops are used in industry to control operation of a process, such as an oil refinery. A transmitter is typically part of the loop and is located in the field to measure and transmit a process variable such as pressure, flow or temperature, for example, to control room equipment. A controller such as a valve controller is also part of the process control loop and controls position of a valve based upon a control signal received over the control loop or generated internally. Other controllers control electric motors or solenoids for example. The control room equipment is also part of the process control loop such that an operator or computer in the control room is capable of monitoring the process based upon process variables received from transmitters in the field and responsively controlling the process by sending control signals to the appropriate control devices. Another process device which may be part of a control loop is a portable communicator which is capable of monitoring and transmitting process signals on the process control loop. Typically, these are used to configure devices which form the loop.

It is desirable to detect the occurrence of an event in the process control system. Typically, the prior art has been limited to a simple detection techniques. For example, process variable such as pressure is monitored and an alarm is sounded or a safety shutdown is initiated if the process variable exceeds predefined limits. However, in order to identify what event triggered the alarm, it is necessary to use complex models which are difficult to implement in a process environment where there is limited power and resources for large computations.

SUMMARY OF THE INVENTION A device in a process control system includes an input which receives a process signal. The device includes memory containing nominal parameter values and rules. In one embodiment, a nominal parameter value relates to trained value (s) of the process signal and sensitivity parameter(s) . Computing circuitry in the device calculates statistical parameters of the process signal and operates on the statistical parameters and the stored nominal parameter values based upon the stored rules . The computing circuitry provides an event output related to an event in the process control system based upon the evaluation of the rules. Output circuitry provides an output in response to the event output. In one embodiment, the statistical parameters are selected from the group consisting of standard deviation, mean, sample variance, range, root-mean- square, and rate of change. In one embodiment the rules are selected to detect events from the group consisting of signal spike, signal drift, signal bias, signal noise, signal stuck, signal hard over, cyclic signal, erratic signal and non-linear signal.

The device of the present invention includes any process device such as a transmitter, controller, motor, sensor, valve, communicator, or control room equipment . BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a simplified diagram showing a process control loop including a transmitter, controller, hand-held communicator and control room. Figure 2 is a block diagram of a process device in accordance with the present invention.

Figure 3 is a diagram showing application of rules to calculated statistical parameters and sensitivity parameters to provide a process event output.

Figure 4 is a graph of a process signal output versus time showing various types of events.

Figure 5 is a block diagram showing an inference engine operating on process events in accordance with the present invention.

Figure 6 is a simplified block diagram of an inference engine for use in the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Process variables are typically the primary variables which are being controlled in a process. As used herein, process variable means any variable which describes the condition of the process such as, for example, pressure, flow, temperature, product level, pH, turbidity, vibration, position, motor current, any other characteristic of the process, etc. Control signal means any signal (other than a process variable) which is used to control the process. For example, control signal means a desired process variable value (i.e. a setpoint) such as a desired temperature, pressure, flow, product level, pH or turbidity, etc., which is adjusted by a controller or used to control the process. Additionally, a control signal means, calibration values, alarms, alarm conditions, the signal which is provided to a control element such as a valve position signal which is provided to a valve actuator, an energy level which is provided to a heating element, a solenoid on/off signal, etc., or any other signal which relates to control of the process. A diagnostic signal as used herein includes information related to operation of devices and elements in the process control loop, but does not include process variables or control signals. For example, diagnostic signals include valve stem position, applied torque or force, actuator pressure, pressure of a pressurized gas used to actuate a valve, electrical voltage, current, power, resistance, capacitance, inductance, device temperature, stiction, friction, full on and off positions, travel, frequency, amplitude, spectrum and spectral components, stiffness, electric or magnetic field strength, duration, intensity, motion, electric motor back emf, motor current, loop related parameters (such as control loop resistance, voltage, or current) , or any other parameter which may be detected or measured in the system. Furthermore, process signal means any signal which is related to the process or element in the process such as, for example, a process variable, a control signal or a diagnostic signal. Process devices include any device which forms part of or couples to a process control loop and is used in the control or monitoring of a process.

Figure 1 is a diagram showing an example of a process control system 2 which includes process piping 4 which carries a process fluid and two wire process control loop 6 carrying loop current I . A transmitter 8, controller 10, which couples to a final control element in the loop such as an actuator, valve, a pump, motor or solenoid, communicator 12, and control room 14 are all part of process control loop 6. It is understood that loop 6 is shown in one configuration and any appropriate process control loop may be used such as a 4-20 mA loop, 2, 3 or 4 wire loop, multi-drop loop and a loop operating in accordance with the HART®, Fieldbus or other digital or analog communication protocol. In operation, transmitter 8 senses a process variable such as flow using sensor 16 and transmits the sensed process variable over loop 6. The process variable may be received by controller/valve actuator 10, communicator 12 and/or control room equipment 14. Controller 10 is shown coupled to valve 18 and is capable of controlling the process by adjusting valve 18 thereby changing the flow in pipe 4. Controller 10 receives a control input over loop 6 from, for example, control room 14, transmitter 8 or communicator 12 and responsively adjusts valve 18. In another embodiment, controller 10 internally generates the control signal based upon process signals received over loop 6. Communicator 12 may be the portable communicator shown in Figure 1 or may be a permanently mounted process unit which monitors the process and performs computations. Process devices include, for example, transmitter 8 (such as a 3095 transmitter available from Rosemount Inc.), controller 10, communicator 12 and control room 14 shown in Figure 1. Another type of process device is a PC, programmable logic unit (PLC) or other computer coupled to the loop using appropriate I/O circuitry to allow monitoring, managing, and/or transmitting on the loop.

Any of the process devices 8, 10, 12 or 14 shown in Figure 1 may include event monitoring circuitry in accordance with the present invention. Figure 2 is a block diagram of a process device 40 forming part of loop 6. Device 40 is shown generically and may comprise any process device such as transmitter 8, controller 10, communicator 12 or control room equipment 14. Control room equipment 14 may comprise, for example, a DCS system implemented with a PLC and controller 10 may also comprise a "smart" motor and pump. Process device 40 includes I/O circuitry 42 coupled to loop 6 at terminals 44. I/O circuitry has preselected input and output impedance known in the art to facilitate appropriate communication from and to device 40. Device 40 includes microprocessor 46, coupled to I/O circuitry 42, memory 48 coupled to microprocessor 46 and clock 50 coupled to microprocessor 46. Microprocessor 46 receives a process signal input 52. Block input is intended to signify input of any process signal, and as explained above, the process signal input may be a process variable, or a control signal and may be received from loop 6 using I/O circuitry 42 or may be generated internally within field device 40. Field device 40 is shown with a sensor input channel 54 and a control channel 56. Typically, a transmitter such as transmitter 8 will exclusively include sensor input channel 54 while a controller such as controller 10 will exclusively include a control channel 56. Other devices on loop 6 such as communicator 12 and control room equipment 14 may not include channels 54 and 56. It is understood that device 40 may contain a plurality of channels to monitor a plurality of process variables and/or control a plurality of control elements as appropriate.

Sensor input channel 54 includes sensor 16 , sensing a process variable and providing a sensor output to amplifier 58 which has an output which is digitized by analog to digital converter 60. Channel 54 is typically used in transmitters such as transmitter 8. Compensation circuitry 62 compensates the digitized signal and provides a digitized process variable signal to microprocessor 46. In one embodiment, channel 54 comprises a diagnostic" channel which receives a diagnostic signal.

When process device 40 operates as a controller such as controller 8, device 40 includes control channel 56 having control element 18 such as a valve, for example. Control element 18 is coupled to microprocessor 46 through digital to analog converter 64, amplifier 66 and actuator 68. Digital to analog converter 64 digitizes a command output from microprocessor 46 which is amplified by amplifier 66. Actuator 68 controls the control element 18 based upon the output from amplifier 66. In one embodiment, actuator 68 is coupled directly to loop 6 and controls a source of pressurized gas (not shown) to position control element 18 in response to the current I flowing through loop 6. In one embodiment, controller 10 includes control channel 56 to control a control element and also includes sensor input channel 54 which provides a diagnostic signal such as valve stem position, force, torque, actuator pressure, pressure of a source of pressurized air, etc.

In one embodiment, I/O circuitry 42 provides a power output used to completely power other circuitry in process device 40 using power received from loop 6. Typically, field devices such as transmitter 8, or controller 10 are powered off the loop 6 while communicator 12 or control room 14 has a separate power source. As described above, process signal input 52 provides a process signal to microprocessor 46. The process signal may be a process variable from sensor 16, the control output provided to control element 18, a diagnostic signal sensed by sensor 16, or a control signal, process variable or diagnostic signal received over loop 6, or a process signal received or generated by some other means such as another I/O channel.

A user I/O circuit 76 is also connected to microprocessor 46 and provides communication between device 40 and a user. Typically, user I/O circuit 76 includes a display and audio for output and a keypad for input. Typically, communicator 12 and control room 14 includes I/O circuit 76 which allows a user to monitor and input process signals such as process variables, control signals (setpoints, calibration values, alarms, alarm conditions, etc.) along with rules, sensitivity parameters and trained values as described below. A user may also use circuit 76 in communicator 12 or control room 14 to send and receive such process signals to transmitter 8 and controller 10 over loop 6. Further, such circuitry could be directly implemented in transmitter 8, controller 10 or any other process device 40.

Microprocessor 46 acts in accordance with instructions stored in memory 48. Memory 48 also contains trained values 78, rules 80 and sensitivity parameters 82 in accordance with the present invention. The combination of the sensitivity parameters 82 and the trained values 78 provide a nominal value 79. Figure 3 is a block diagram 83 showing a logical implementation of device 40. Logical block 84 receives process signals and calculates statistical parameters for the process signals. These statistical parameters include standard deviation, mean, sample variance, root-mean-square (RMS) , range (ΔR) and rate of change (ROC) of the process signal, for example. These are given by the following equations: mean - x 1

AT - -' *i Eq . 1

N 2 - 1

v σ - sj standard devia tion - variance

Eq . 3

Where Ν is the total number of data points in the sample period, xA and x^ are two consecutive values of the process signal and T is the time interval between the two values. Further, x^ and xMIΝ are the respective maximum and minimum of the process signal over a sampling or training time period. These statistical parameters are calculated alone or in any combination. It will be understood that the invention includes any statistical parameter other than those explicitly set forth which may be implemented to analyze a process signal. The calculated statistical parameter is received by rule calculation block 86 which operates in accordance with rules 80 stored in memory 48. Rules block 86 also receives trained values 78 from memory 48. Trained values are the nominal or (i.e., typical) statistical parameter value for the process signal and comprise the same statistical parameters (standard deviation, mean, sample variance, root-mean-square (RMS) , range and rate of change, etc.) used in logical block 84. In one embodiment, the trained values are provided by the manufacturer and stored in memory 48 of transmitter 40 during manufacture. In another embodiment, the trained values are periodically updated by addressing device 40 over loop 6. In still another embodiment, input circuitry 76 may generate or receive the trained values or be used to transmit the trained values to another process device over loop 6. In yet another embodiment, the trained values are generated by statistical parameter logical block 84 which generates, or learns, the nominal or normal statistical parameters during normal operation of the process. These statistical parameters are used to generate the trained values 78 in memory 48 for future use. This allows dynamic adjustment of trained values 78 for each specific loop and operating condition. In this embodiment, statistical parameters 84 are monitored for a user selectable period of time based upon the process dynamic response time. Rules block 86 receives sensitivity parameters

82 from memory 48. Rules logical block 86 provides examples of a number of different rules. Each sensitivity parameter value 82 provides an acceptable range or relationship as determined by the appropriate rule between the calculated statistical parameters 84 and the appropriate trained values 78. The sensitivity parameter values 82 may be set by the manufacturer, received over loop 6 or input using input circuitry 76. The sensitivity parameters are adjusted for the specific application. For example, in process control applications where high accuracy is required, the sensitivity parameters are set so as to allow only small variations of the process signals relative to the trained values. The use of sensitivity parameters allow the diagnostic and event detection decision making to be controlled based upon the particular process and the requirements of the user.

Figure 4 is an example of a process signal versus time which shows different process events (e.g. normal, bias, drift, noise, spike and stuck) which are detected using the present invention. The process signal shown in Figure 4 is initially in a normal state and then moves to a bias condition. Next, the process signal goes through a drift condition followed by a noisy signal condition. Finally, a series of spike events occur in the process signal followed by a stuck condition. The rules used to detect these events are described below.

Drift

Drift occurs when a process signal changes over time from its true (i.e. nominal) value. One embodiment of the invention includes a rule which operates on a statistical parameter mean (μ) , the trained parameter mean (μ' ) and a tuning parameter alpha (or) to detect drift.

Drift sensitivity is controlled by a single sensitivity parameter, alpha {a) . Alpha (α) represents a percentage above or below the normal mean signal level that is tolerable before a drift or event is detected. The following rule performed by rule calculation block 86 detects a drift event: if μ < μ' (1-α) then a negative drift event if μ > μ' (1+α) then a positive drift event,

where μ is the current mean of the process signal from 84, μ' is the trained mean from 78 and ex is the sensitivity parameter from 82 which defines the acceptable variations from the mean. Additionally, the mean is monitored over time. A drift event is only detected if, over a series of consecutive sampling period, the mean is moving away from the trained value. The trained mean (μ' ) may be learned by training device 40 during normal operation of the process.

Bias Bias is the result of a temporary drift

"stabilizing" at a certain level above or below the expected signal level. Once the drift stops, the resulting signal has a bias, sometimes called an offset from the true/nominal value. A bias is detected using the same rule used for drift. Additionally, the mean is monitored over time. If the mean is not continuing to move away from the trained mean (μ') , then it is determined that the event is bias, not drift.

Noise

A different combination of a rule, tuning parameters and trained values detect noise in the process signal. Noise detection sensitivity is adjusted by adjusting the sensitivity parameter beta (β) . Beta (jβ) is the amount the current standard deviation (σ) can be above the trained standard deviation (σ') before detection of a noise event. For example, if the user desires to detect a noise event when the process signal is twice as noisy as the trained value, β should be sent to 2.0. Range (ΔR) is" also used by the rule to differentiate noise from normal signal variations. An example rule for noise detection is:

if σ > βσ ' and if ΔR > ΔR' then noise detected.

Where σ and σ ' are the current and trained standard deviation ΔR and ΔR' are the current and trained range, respectively, and β is the noise sensitivity parameter.

Stuck

Yet another combination of a rule, statistical value, tuning parameters and trained values detect a stuck condition in a process signal. A "stuck" process signal is one which a condition of the process signal does not vary with time. Stuck sensitivity is controlled by adjusting the sensitivity parameter 82 gamma (γ) . A value for gamma (γ) is expressed as a percentage of the trained standard deviation (σ') and represents how small a change in standard deviation from the trained value triggers detection of a stuck event. For example, if a user wishes to detect a stuck condition when the process signal noise level is half of the trained value, γ should be set equal to 50 percent (0.5) . Further, range of the signal (ΔR) can be used to eliminate errors that arise with small signals. One example rule is:

If (σ + ΔR) ≤ γ(σ' + ΔR' ) then a stuck event is detected. Spike

A different combination of a rule, a statistical value, trained value and sensitivity parameter is used to detect a spike event . A spike event occurs when the signal momentarily goes to an extreme value. Sensitivity to spikes in the process signal is controlled by adjusting a sensitivity parameter from δ stored in 82. δ is the acceptable trained maximum rate of change (ΔP,^) between two consecutive data points. For example, if the user wishes to detect any spikes that have a rate of change

(ROC) from block 84 that is 30% greater than Δrraax from block 78 relative to the trained value, δ from 82 should be set to 1.30. An example rule is:

if ROC > δ • Ar^^ then a spike event is detected

Other rules include a cyclic rule to detect cyclical oscillations in the process signal and an erratic rule to detect erratic behavior in the process signal. It should be understood that other rules may be implemented to observe other events in the process signal and may use different formulas or computational techniques to detect and event. A rule may operate on more than one statistical parameter or on more than one process signal. For example, if a process variable such as flow rate exceeds a predetermined limit while another process variable such as process temperature spikes, a rule could determine that the process is overheating and an emergency shut down condition could exist.

Furthermore, another type of rule is implemented in fuzzy logic in which the statistical parameter is operated on by a sensitivity parameter which is a membership function applied to the trained values.

All of the rules discussed herein provide a process event output based upon the operation of the rule. It should be understood that the process event output may have a plurality of discrete or continuous values based upon operation of the rule. Note that the combination of the sensitivity parameter and the trained value provides a nominal parameter value and that the rule operates on the nominal parameter value and the statistical parameter. The various process signals, parameters and trained values can be combined using weighted averages or appropriate fuzzy logic. Membership functions include, for example, trapezoidal and triangular functions. For example, the statistical parameter can be mapped onto the chosen membership function. These are then used during training to generate the trained values, and to generate the statistical parameters for use by the rules. In one embodiment, the trained values are obtained by determining that the process is stable, and generating the statistical parameters for a selectable period of time. These are stored as the trained values. The selectable period of time should be about the same as sampling period or block used to generate the statistical parameters during operation. This process may be user initiated or automated.

The output of a rule can be transmitted over loop 6, output on user I/O circuit 76, stored for future use, used as an input to another computation such as another rule or a control function, or used in any appropriate manner. In another embodiment, the present invention monitors related process signals and performs comparisons and correlations between these signals. For example, in Figure 2 process signals such as the output of A/D converter 60, compensation circuit 62, and current I through loop 6 can be analyzed in accordance with Figure 3. For example, the plurality of process signals should all be within a desired tolerance between one another as set forth by the appropriate combination of sensitivity parameters, rules, and trained values.

Figure 5 is a block diagram 100 showing inference engine 102. Inference engine 102 resides in process device 40, is part of loop 6, and receives process variables 104, control signals 106 and process events 108. Process events are detected in accordance with the present invention. Inference engine 102 includes computation circuitry 110 and process data 112. Process data 112 may comprise, for example, process history information such as logged process variables, control signals, process events or other process signals and may contain process specific information which further defines the process being monitored. Upon the occurrence of a process event, the inference engine 102 determines which component in the various process devices is faulty. Computation circuitry 110 analyzes process variables 104, control signals 106, process events 108 and other process signals to determine the cause of the process event. Computation circuitry operates in accordance with a series of rules such as those used in the known technique of an expert system. Computation circuitry 110 operates on all of the inputs including process data 112 and provides a faulty element output such as a warning signal. For example, if a drift event is detected, inference engine 102 operates to determine the cause of the drifts. For example, the drift may be due to a control setpoint which was changed in which case computation circuitry 110 determines that the control loop is operating properly. However, if the setpoint was not changed, the inference engine further analyzes the various inputs and, for example, checks the integrity of the device reporting a process event, such as a valve motor, pump, vibration equipment, etc., by running appropriate diagnostics. If the valve, for example, indicates that the valve is operating properly, the inference engine may then perform transmitter diagnostics to determine if a transmitter and associated sensors are operating properly. These diagnostics may observe information from the specific element being reviewed and may also observe information being received from other sources on the control loop such as upstream or downstream sensors, etc. Computation circuitry 110 uses any appropriate computational technique such a series of rules, fuzzy logic or neural networks. In a preferred embodiment, inference engine is implemented in a microprocessor and memory and may be located in a control room, at some remote location or in the field itself. Inference engine 102 may be implemented in any of the process devices 8, 10, 12 or 14 shown in Figure 1. The faulty element output can be provided to an operator or can be used by additional computational circuitry which performs further diagnostics on the loop.

Figure 6 shows a block diagram 200 of a simplified, example inference engine such as engine 102 operating in accordance with a rule base. Upon the occurrence of a process event, at block 202 the inference engine 102 examines the process event to identify the specific event which was detected. If the event was a drift event, control moves on to block 204. If the event was some other event such as spike, noise or bias, control moves to a rule base constructed in accordance with the specific event which was detected. At block 204, the inference engine checks to see if the setpoint of the process was recently changed. If the setpoint was recently changed, an output is provided which indicates that the process is operating within its normal range and that the drift which was detected was due to the change in setpoint. However, if the setpoint was not changed, the inference engine moves on to block 206 to run further diagnostics. At block 206, the inference engine instructs process device 40 to run on board diagnostics to further determine the cause of the drift. At block 208, if the diagnostics run by device 40 identify the cause of the drift, the inference engine provides an output identifying a faulty component. However, if the diagnostics indicate that device 40 is operating properly, inference engine instructs related devices to run diagnostics at block 210. For example, related devices may be upstream or downstream, controllers or transmitters. At block 212, the inference engine determines if one of the related process devices is the faulty device. If the fault which caused the drift is one of the related devices, the inference engine provides an output identifying the device and faulty component. If none of the related devices are in error, the inference engine observes other process signals at block 214 in an attempt to identify known process conditions at block 216. If the cause of the drift is due to a known process condition, for example, a fluid pressure drop caused by the filling of a reserve tank with process fluid. If the process condition is known, the specific condition is identified. If the process condition is not known, the operator is informed that a drift event has been detected whose cause cannot be identified. At any point in the flow chart 200, based upon any of the various rules, the inference engine may initiate a shutdown procedure to shut down the process. As discussed above, actual inference engines will contain a much more sophisticated rule base and/or will employ more sophisticated forms of logic such as fuzzy logic and neural networks, specific to each process control application.

Although the present invention has been described with reference to preferred embodiments, workers skilled in the art will recognize that changes may be made in form and detail without departing from the spirit and scope of the invention. For example, all of the various functions and circuitry described herein can be implemented in any appropriate circuitry including software, ASICs, fuzzy logic techniques, or even analog implementations. Further, the process device may include any number or combination of input and control channels and may operate on any number of process signals, alone or in their combination, and the rules may operate accordingly.

Claims

WHAT IS CLAIMED IS:
1. A process device coupled to a process control loop, comprising: a process signal input means for providing a process signal related to a process; memory containing a nominal parameter value and a rule,- computing circuitry calculating a statistical parameter of the digitized process variable and operating on the statistical parameter and the nominal parameter value based upon the rule and providing an event output in response to an event in the process detected based upon the operation; and output circuitry outputting the event output.
2. The apparatus of claim 1 wherein the nominal parameter value comprises a trained value and a sensitivity parameter.
3. The apparatus of claim 1 wherein the process control loop is selected from the group consisting of two wire process control loops, three wire process control loops and four wire process control loops.
4. The apparatus of claim 1 wherein the device is completely powered with power received from the process control loop.
5. The apparatus of claim 1 wherein the statistical parameter is selected from the group consisting of standard deviation, mean, sample variance, root-mean-square (RMS) , range, and rate of change.
6. The apparatus of claim 1 wherein the computing circuitry provides the event output based upon a plurality of statistical parameters.
7. The apparatus of claim 1 wherein the rule is selected from the group consisting of spike, drift, bias, noise and stuck.
8. The apparatus of claim 1 wherein the computing circuitry comprises fuzzy logic and the rule employs a membership function.
9. The apparatus of claim 8 including a fuzzy membership function stored in the memory and wherein computation circuitry applies the membership function to the statistical parameter prior to operation of the rule.
10. The apparatus of claim 1 wherein the process signal input means comprises a sensor input channel and the process signal comprises a process variable.
11. The apparatus of claim 10 wherein the sensor input channel includes : a sensor providing a sensor output related to the process; and an analog to digital converter which converts the sensor output into a digitized process variable.
12. The apparatus of claim 11 wherein the sensor is selected from the group consisting of pressure, temperature, pH, flow, turbidity, level sensors, position, conductivity, motor current, motor back emf and vibration.
13. The apparatus of claim 1 wherein the process signal input means comprises a control channel and the process signal comprises a control signal.
14. The apparatus of claim 13 wherein the control channel includes : a control element for controlling the process; and an actuator for actuating the control element.
15. The apparatus of claim 1 wherein the process signal input means comprises input circuitry coupled to the control loop to receive the process signal from the process control loop.
16. The apparatus of claim 1 wherein the output circuitry couples to the process control loop and transmits the event output on the process control loop.
17. The apparatus of claim 1 wherein the output circuitry comprises user output circuitry for outputting the event output to a user.
18. The apparatus of claim 1 wherein process signal input means comprises a diagnostic channel and the process signal comprises a diagnostic signal related to a control element used to control the process.
19. The apparatus of claim 18 wherein the diagnostic signal is selected from the group consisting of valve stem position, force, and pressure.
20. The apparatus of claim 14 wherein the actuator comprises a motor and the control element comprises a pump operated by the motor.
21. The apparatus of claim 1 including an inference engine coupled to the event output for performing diagnostics on the process control loop.
22. The apparatus of claim 2 wherein the computing circuitry monitors the statistical parameter during normal operation of the process control loop and thereby generates the trained value.
23. A transmitter in a process control loop, comprising: a sensor sensing a process variable; an analog to digital converter coupled to the sensor having a digitized process variable output; a memory containing a nominal parameter value and a rule; computation circuitry coupled to the memory and the analog to digital converter, the computation circuitry calculating a statistical parameter of the digitized processed variable, operating on the statistical parameter based upon the rule and the nominal parameter and responsively providing a process event outpu ; and output circuitry coupled to the process control loop outputting the process event output onto the loop.
24. The transmitter of claim 23 wherein the nominal parameter value comprises a trained value and a sensitivity parameter.
25. The transmitter of claim 23 wherein the device is completely powered with power received from the process control loop.
26. The transmitter of claim 23 wherein the rule is selected from the group consisting of signal spike, signal drift, signal bias, signal noise and signal stuck.
27. The transmitter of claim 23 wherein the sensor is selected from the group consisting of pressure, pH, flow, turbidity and level sensors.
28. The transmitter of claim 23 including compensation circuitry coupled to the analog to digital converter for compensating the digitized process variable.
29. The transmitter of claim 24 wherein the computing circuitry monitors the statistical parameter during normal operation of the process control loop and thereby generates the trained value .
30. A method performed in a process device for detecting a process event in a process control system, comprising: obtaining a process signal related to a process; retrieving a rule from a memory; retrieving a nominal parameter from the memory; calculating a statistical parameter of the process signal; comparing statistical parameter to the nominal value in accordance with a relationship defined by the rule; and responsively providing a process event output based upon the step of comparing.
31. The method of claim 30 wherein the nominal parameter value comprises a trained value and a sensitivity parameter.
32. The method of claim 30 wherein the process signal comprises a process variable.
33. The method of claim 30 wherein the process signal comprises a control signal.
34. The method of claim 30 wherein the process signal comprises a diagnostic signal.
35. The method of claim 31 including calculating a statistical parameter of the process variable during normal operation and storing the statistical parameter in memory as the trained value.
36. The method of claim 30 wherein the rules are selected from the group consisting of spike, drift, bias, noise and stuck.
37. The method of claim 30 wherein the statistical parameter is selected from the group consisting of standard deviation, mean, sample variance, root-mean- square (RMS) , range, and rate of change.
38. The method of claim 30 wherein the step of comparing includes performing a fuzzy logic operation.
PCT/US1997/003859 1996-03-28 1997-03-13 Device in a process system for detecting events WO1997036215A1 (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006004582B4 (en) * 2006-02-01 2010-08-19 Siemens Ag A method for diagnosing a blockage of a pulse line with a pressure transmitter and pressure transmitter

Families Citing this family (246)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4544992B2 (en) * 2002-06-24 2010-09-15 エム ケー エス インストルメンツ インコーポレーテッドMks Instruments,Incorporated Apparatus and method for insensitive mass flow control on fluctuation of the pressure
US7085610B2 (en) * 1996-03-28 2006-08-01 Fisher-Rosemount Systems, Inc. Root cause diagnostics
US6654697B1 (en) 1996-03-28 2003-11-25 Rosemount Inc. Flow measurement with diagnostics
US7949495B2 (en) * 1996-03-28 2011-05-24 Rosemount, Inc. Process variable transmitter with diagnostics
US7630861B2 (en) * 1996-03-28 2009-12-08 Rosemount Inc. Dedicated process diagnostic device
US6017143A (en) 1996-03-28 2000-01-25 Rosemount Inc. Device in a process system for detecting events
US8290721B2 (en) * 1996-03-28 2012-10-16 Rosemount Inc. Flow measurement diagnostics
US6539267B1 (en) * 1996-03-28 2003-03-25 Rosemount Inc. Device in a process system for determining statistical parameter
US7146230B2 (en) * 1996-08-23 2006-12-05 Fieldbus Foundation Integrated fieldbus data server architecture
US20040194101A1 (en) * 1997-08-21 2004-09-30 Glanzer David A. Flexible function blocks
US20050240286A1 (en) * 2000-06-21 2005-10-27 Glanzer David A Block-oriented control system on high speed ethernet
US6999824B2 (en) * 1997-08-21 2006-02-14 Fieldbus Foundation System and method for implementing safety instrumented systems in a fieldbus architecture
US6424872B1 (en) 1996-08-23 2002-07-23 Fieldbus Foundation Block oriented control system
US6519546B1 (en) 1996-11-07 2003-02-11 Rosemount Inc. Auto correcting temperature transmitter with resistance based sensor
US6449574B1 (en) 1996-11-07 2002-09-10 Micro Motion, Inc. Resistance based process control device diagnostics
US6754601B1 (en) 1996-11-07 2004-06-22 Rosemount Inc. Diagnostics for resistive elements of process devices
US6434504B1 (en) 1996-11-07 2002-08-13 Rosemount Inc. Resistance based process control device diagnostics
US6601005B1 (en) 1996-11-07 2003-07-29 Rosemount Inc. Process device diagnostics using process variable sensor signal
US7010459B2 (en) * 1999-06-25 2006-03-07 Rosemount Inc. Process device diagnostics using process variable sensor signal
US6445969B1 (en) * 1997-01-27 2002-09-03 Circuit Image Systems Statistical process control integration systems and methods for monitoring manufacturing processes
CN1177266C (en) 1997-10-13 2004-11-24 罗斯蒙德公司 Field process equipment in industrial process and forming method thereof
US6738388B1 (en) * 1998-09-10 2004-05-18 Fisher-Rosemount Systems, Inc. Shadow function block interface for use in a process control network
JP2000121508A (en) * 1998-10-15 2000-04-28 Tlv Co Ltd Monitoring system having power supply built in
US6611775B1 (en) 1998-12-10 2003-08-26 Rosemount Inc. Electrode leakage diagnostics in a magnetic flow meter
US6615149B1 (en) 1998-12-10 2003-09-02 Rosemount Inc. Spectral diagnostics in a magnetic flow meter
US7206646B2 (en) * 1999-02-22 2007-04-17 Fisher-Rosemount Systems, Inc. Method and apparatus for performing a function in a plant using process performance monitoring with process equipment monitoring and control
US7720727B2 (en) * 2001-03-01 2010-05-18 Fisher-Rosemount Systems, Inc. Economic calculations in process control system
US7389204B2 (en) * 2001-03-01 2008-06-17 Fisher-Rosemount Systems, Inc. Data presentation system for abnormal situation prevention in a process plant
WO2002071173A3 (en) * 2001-03-01 2003-01-09 Fisher Rosemount Systems Inc Data sharing in a process plant
US6356191B1 (en) 1999-06-17 2002-03-12 Rosemount Inc. Error compensation for a process fluid temperature transmitter
DE60014709T3 (en) 1999-07-01 2010-04-15 Rosemount Inc., Eden Prairie Two-wire transmitter with self-test and low performance
DE19932193C2 (en) * 1999-07-09 2003-11-27 Framatome Anp Gmbh Module for controlling a drive controller for a system and method for controlling a drive using such a device
US6505517B1 (en) 1999-07-23 2003-01-14 Rosemount Inc. High accuracy signal processing for magnetic flowmeter
US7069101B1 (en) * 1999-07-29 2006-06-27 Applied Materials, Inc. Computer integrated manufacturing techniques
US6470755B1 (en) * 1999-08-05 2002-10-29 Dieterich Standard, Inc. Noise reducing differential pressure measurement probe
DE19939568C1 (en) * 1999-08-20 2001-02-08 Pilz Gmbh & Co Data transmission rate setting method for field bus system for safety critical process control has transmission rate set to higher data rate by central control after intial signalling of substations connected to field bus
US6701274B1 (en) 1999-08-27 2004-03-02 Rosemount Inc. Prediction of error magnitude in a pressure transmitter
US7069185B1 (en) 1999-08-30 2006-06-27 Wilson Diagnostic Systems, Llc Computerized machine controller diagnostic system
US6556145B1 (en) 1999-09-24 2003-04-29 Rosemount Inc. Two-wire fluid temperature transmitter with thermocouple diagnostics
US6757665B1 (en) * 1999-09-28 2004-06-29 Rockwell Automation Technologies, Inc. Detection of pump cavitation/blockage and seal failure via current signature analysis
US6532554B1 (en) * 1999-11-29 2003-03-11 Sun Microsystems, Inc. Network event correlation system using formally specified models of protocol behavior
US6640151B1 (en) 1999-12-22 2003-10-28 Applied Materials, Inc. Multi-tool control system, method and medium
JP2001326375A (en) * 2000-03-10 2001-11-22 Sanyo Electric Co Ltd Method and apparatus for diagnosis of solar light power generation system
US6975219B2 (en) * 2001-03-01 2005-12-13 Fisher-Rosemount Systems, Inc. Enhanced hart device alerts in a process control system
US8044793B2 (en) * 2001-03-01 2011-10-25 Fisher-Rosemount Systems, Inc. Integrated device alerts in a process control system
US7562135B2 (en) * 2000-05-23 2009-07-14 Fisher-Rosemount Systems, Inc. Enhanced fieldbus device alerts in a process control system
US6708074B1 (en) 2000-08-11 2004-03-16 Applied Materials, Inc. Generic interface builder
US6735484B1 (en) 2000-09-20 2004-05-11 Fargo Electronics, Inc. Printer with a process diagnostics system for detecting events
US6480793B1 (en) * 2000-10-27 2002-11-12 Westinghouse Electric Company Lcl Flow condition monitor
DE10054288A1 (en) * 2000-11-02 2002-05-16 Festo Ag & Co A sensor arrangement for detecting at least one measured value,
JPWO2002041917A1 (en) * 2000-11-22 2004-03-25 三菱ウェルファーマ株式会社 Ophthalmic agent
US7188142B2 (en) 2000-11-30 2007-03-06 Applied Materials, Inc. Dynamic subject information generation in message services of distributed object systems in a semiconductor assembly line facility
JP3453557B2 (en) * 2000-12-11 2003-10-06 キヤノン株式会社 Quality reliability information providing system of the optical semiconductor device using the communication network
FR2818835B1 (en) * 2000-12-22 2005-05-06 Nortel Networks Method and signal processing device in a radio communication receiver SPREAD SPECTRUM
US20020166423A1 (en) * 2001-02-20 2002-11-14 Mueller Co. Cutting apparatus for generating threads for pipe nipples
US6954713B2 (en) * 2001-03-01 2005-10-11 Fisher-Rosemount Systems, Inc. Cavitation detection in a process plant
US6795798B2 (en) 2001-03-01 2004-09-21 Fisher-Rosemount Systems, Inc. Remote analysis of process control plant data
EP1364262B1 (en) * 2001-03-01 2005-11-02 Fisher-Rosemount Systems, Inc. Creation and display of indices within a process plant
CN1926489B (en) 2004-03-03 2012-02-15 费舍-柔斯芒特系统股份有限公司 Data used in the plant in the prevention of abnormal conditions rendering system
US6970003B2 (en) * 2001-03-05 2005-11-29 Rosemount Inc. Electronics board life prediction of microprocessor-based transmitters
DE60208046T2 (en) * 2001-04-05 2006-08-03 Fisher Controls International Llc System to manually start a notabschaltungsprüfung and collection of diagnostic data in a process control environment
US7621293B2 (en) * 2001-04-05 2009-11-24 Fisher Controls International Llc Versatile emergency shutdown device controller implementing a pneumatic test for a system instrument device
US6785632B1 (en) 2001-04-12 2004-08-31 Seagate Removable Solutions Llc Real time statistical computation in embedded systems
WO2002091117A3 (en) 2001-05-04 2007-11-15 Invensys Sys Inc Process control loop analysis system
US6629059B2 (en) 2001-05-14 2003-09-30 Fisher-Rosemount Systems, Inc. Hand held diagnostic and communication device with automatic bus detection
US7027952B2 (en) * 2002-03-12 2006-04-11 Fisher-Rosemount Systems, Inc. Data transmission method for a multi-protocol handheld field maintenance tool
US7039744B2 (en) * 2002-03-12 2006-05-02 Fisher-Rosemount Systems, Inc. Movable lead access member for handheld field maintenance tool
US7054694B2 (en) * 2001-05-30 2006-05-30 Yokogawa Electric Corporation Process control system
US20020191102A1 (en) * 2001-05-31 2002-12-19 Casio Computer Co., Ltd. Light emitting device, camera with light emitting device, and image pickup method
US7101799B2 (en) * 2001-06-19 2006-09-05 Applied Materials, Inc. Feedforward and feedback control for conditioning of chemical mechanical polishing pad
US7698012B2 (en) 2001-06-19 2010-04-13 Applied Materials, Inc. Dynamic metrology schemes and sampling schemes for advanced process control in semiconductor processing
US7160739B2 (en) 2001-06-19 2007-01-09 Applied Materials, Inc. Feedback control of a chemical mechanical polishing device providing manipulation of removal rate profiles
US7162534B2 (en) * 2001-07-10 2007-01-09 Fisher-Rosemount Systems, Inc. Transactional data communications for process control systems
US7174283B2 (en) * 2001-07-16 2007-02-06 Pronetix Ltd Method for isolating sources of drifts in output properties for machines and processes
US6772036B2 (en) * 2001-08-30 2004-08-03 Fisher-Rosemount Systems, Inc. Control system using process model
US20030229472A1 (en) * 2001-12-06 2003-12-11 Kantzes Christopher P. Field maintenance tool with improved device description communication and storage
US20040111238A1 (en) * 2002-12-05 2004-06-10 Fisher-Rosemount Systems, Inc. Method of adding software to a field maintenance tool
US7426452B2 (en) * 2001-12-06 2008-09-16 Fisher-Rosemount Systems. Inc. Dual protocol handheld field maintenance tool with radio-frequency communication
DE60207106T2 (en) * 2001-12-06 2006-07-13 Fisher-Rosemount Systems, Inc., Austin Intrinsically safe field device tool maintenance-
US20030204373A1 (en) * 2001-12-06 2003-10-30 Fisher-Rosemount Systems, Inc. Wireless communication method between handheld field maintenance tools
DE10163569A1 (en) * 2001-12-21 2003-11-06 Endress & Hauser Gmbh & Co Kg A method for determining and / or monitoring a physical or chemical process variable
US7072808B2 (en) 2002-02-04 2006-07-04 Tuszynski Steve W Manufacturing design and process analysis system
US7239991B2 (en) * 2002-02-04 2007-07-03 Tuszynski Steve W Manufacturing design and process analysis and simulation system
US6721683B2 (en) * 2002-03-08 2004-04-13 Insightek, Llc Pump motor diagnosis
US20030199112A1 (en) 2002-03-22 2003-10-23 Applied Materials, Inc. Copper wiring module control
US20040019672A1 (en) * 2002-04-10 2004-01-29 Saumitra Das Method and system for managing computer systems
US8073967B2 (en) 2002-04-15 2011-12-06 Fisher-Rosemount Systems, Inc. Web services-based communications for use with process control systems
EP1355208A1 (en) * 2002-04-15 2003-10-22 Peter Renner System for the automation of technical processes
US6839660B2 (en) * 2002-04-22 2005-01-04 Csi Technology, Inc. On-line rotating equipment monitoring device
US6672716B2 (en) * 2002-04-29 2004-01-06 Xerox Corporation Multiple portion solid ink stick
US6868862B2 (en) * 2002-06-24 2005-03-22 Mks Instruments, Inc. Apparatus and method for mass flow controller with a plurality of closed loop control code sets
US20030234045A1 (en) * 2002-06-24 2003-12-25 Ali Shajii Apparatus and method for mass flow controller with on-line diagnostics
US6712084B2 (en) 2002-06-24 2004-03-30 Mks Instruments, Inc. Apparatus and method for pressure fluctuation insensitive mass flow control
US20030234047A1 (en) * 2002-06-24 2003-12-25 Ali Shajii Apparatus and method for dual processor mass flow controller
US6948508B2 (en) 2002-06-24 2005-09-27 Mks Instruments, Inc. Apparatus and method for self-calibration of mass flow controller
US7136767B2 (en) * 2002-06-24 2006-11-14 Mks Instruments, Inc. Apparatus and method for calibration of mass flow controller
US7809473B2 (en) 2002-06-24 2010-10-05 Mks Instruments, Inc. Apparatus and method for pressure fluctuation insensitive mass flow control
US7552015B2 (en) * 2002-06-24 2009-06-23 Mks Instruments, Inc. Apparatus and method for displaying mass flow controller pressure
US7004191B2 (en) * 2002-06-24 2006-02-28 Mks Instruments, Inc. Apparatus and method for mass flow controller with embedded web server
US6810308B2 (en) 2002-06-24 2004-10-26 Mks Instruments, Inc. Apparatus and method for mass flow controller with network access to diagnostics
EP1388769A1 (en) 2002-08-05 2004-02-11 Peter Renner System for automation, surveillance, control, detection of measured values for technical processes
US7272459B2 (en) 2002-11-15 2007-09-18 Applied Materials, Inc. Method, system and medium for controlling manufacture process having multivariate input parameters
US6804993B2 (en) * 2002-12-09 2004-10-19 Smar Research Corporation Sensor arrangements and methods of determining a characteristic of a sample fluid using such sensor arrangements
US6834258B2 (en) * 2002-12-31 2004-12-21 Rosemount, Inc. Field transmitter with diagnostic self-test mode
JP4739183B2 (en) * 2003-03-06 2011-08-03 フィッシャー−ローズマウント システムズ, インコーポレイテッド Battery
US6915235B2 (en) * 2003-03-13 2005-07-05 Csi Technology, Inc. Generation of data indicative of machine operational condition
US6813588B1 (en) * 2003-03-31 2004-11-02 Honeywell International Inc. Control system and method for detecting plugging in differential pressure cells
CA2522755A1 (en) 2003-04-16 2004-11-04 Drexel University Acoustic blood analyzer for assessing blood properties
US6983223B2 (en) * 2003-04-29 2006-01-03 Watlow Electric Manufacturing Company Detecting thermocouple failure using loop resistance
US7512521B2 (en) * 2003-04-30 2009-03-31 Fisher-Rosemount Systems, Inc. Intrinsically safe field maintenance tool with power islands
US7451021B2 (en) * 2003-05-06 2008-11-11 Edward Wilson Model-based fault detection and isolation for intermittently active faults with application to motion-based thruster fault detection and isolation for spacecraft
US7054695B2 (en) 2003-05-15 2006-05-30 Fisher-Rosemount Systems, Inc. Field maintenance tool with enhanced scripts
US7526802B2 (en) * 2003-05-16 2009-04-28 Fisher-Rosemount Systems, Inc. Memory authentication for intrinsically safe field maintenance tools
US6925419B2 (en) * 2003-05-16 2005-08-02 Fisher-Rosemount Systems, Inc. Intrinsically safe field maintenance tool with removable battery pack
US8874402B2 (en) * 2003-05-16 2014-10-28 Fisher-Rosemount Systems, Inc. Physical memory handling for handheld field maintenance tools
US7199784B2 (en) * 2003-05-16 2007-04-03 Fisher Rosemount Systems, Inc. One-handed operation of a handheld field maintenance tool
US7036386B2 (en) * 2003-05-16 2006-05-02 Fisher-Rosemount Systems, Inc. Multipurpose utility mounting assembly for handheld field maintenance tool
US6990431B2 (en) * 2003-06-23 2006-01-24 Municipal And Industrial Data Labs, Inc. System and software to monitor cyclic equipment efficiency and related methods
EP1646864A2 (en) * 2003-07-18 2006-04-19 Rosemount Inc. Process diagnostics
US7018800B2 (en) * 2003-08-07 2006-03-28 Rosemount Inc. Process device with quiescent current diagnostics
US7627441B2 (en) * 2003-09-30 2009-12-01 Rosemount Inc. Process device with vibration based diagnostics
US7334226B2 (en) * 2003-10-30 2008-02-19 International Business Machines Corporation Autonomic auto-configuration using prior installation configuration relationships
US6959607B2 (en) * 2003-11-10 2005-11-01 Honeywell International Inc. Differential pressure sensor impulse line monitor
US8180466B2 (en) * 2003-11-21 2012-05-15 Rosemount Inc. Process device with supervisory overlayer
US7523667B2 (en) * 2003-12-23 2009-04-28 Rosemount Inc. Diagnostics of impulse piping in an industrial process
WO2005078544A1 (en) * 2004-02-05 2005-08-25 Rosemount Inc. Emergency shutdown valve diagnostics using a pressure transmitter
US20050173112A1 (en) * 2004-02-05 2005-08-11 Kadir Kavaklioglu Annulus plugging detection using a pressure transmitter in gas-lift oil production
US7234084B2 (en) * 2004-02-18 2007-06-19 Emerson Process Management System and method for associating a DLPDU received by an interface chip with a data measurement made by an external circuit
US7058089B2 (en) * 2004-02-18 2006-06-06 Rosemount, Inc. System and method for maintaining a common sense of time on a network segment
US7030747B2 (en) * 2004-02-26 2006-04-18 Fisher-Rosemount Systems, Inc. Method and system for integrated alarms in a process control system
DE112004002682D2 (en) * 2004-02-28 2006-12-07 Abb Research Ltd Arrangement of equipment of the process control
US7676287B2 (en) * 2004-03-03 2010-03-09 Fisher-Rosemount Systems, Inc. Configuration system and method for abnormal situation prevention in a process plant
US7079984B2 (en) * 2004-03-03 2006-07-18 Fisher-Rosemount Systems, Inc. Abnormal situation prevention in a process plant
US7451003B2 (en) * 2004-03-04 2008-11-11 Falconeer Technologies Llc Method and system of monitoring, sensor validation and predictive fault analysis
US7552005B2 (en) * 2004-03-16 2009-06-23 Honeywell International Inc. Method for fault diagnosis of a turbine engine
US7799273B2 (en) * 2004-05-06 2010-09-21 Smp Logic Systems Llc Manufacturing execution system for validation, quality and risk assessment and monitoring of pharmaceutical manufacturing processes
US7545531B2 (en) * 2004-05-18 2009-06-09 Xerox Corporation Method and apparatus for implementing statistical process control (SPC) in a printing environment
US7536274B2 (en) * 2004-05-28 2009-05-19 Fisher-Rosemount Systems, Inc. System and method for detecting an abnormal situation associated with a heater
US20050267709A1 (en) * 2004-05-28 2005-12-01 Fisher-Rosemount Systems, Inc. System and method for detecting an abnormal situation associated with a heater
US7660701B2 (en) 2004-06-12 2010-02-09 Fisher-Rosemount Systems, Inc. System and method for detecting an abnormal situation associated with a process gain of a control loop
US7464721B2 (en) * 2004-06-14 2008-12-16 Rosemount Inc. Process equipment validation
US7168680B2 (en) * 2004-07-22 2007-01-30 Harris Corporation Embedded control valve using electroactive material
WO2006026749A3 (en) * 2004-08-31 2006-05-04 Watlow Electric Mfg Operations system distributed diagnostic system
JP4431883B2 (en) * 2004-09-08 2010-03-17 横河電機株式会社 Transmitter
US7181654B2 (en) * 2004-09-17 2007-02-20 Fisher-Rosemount Systems, Inc. System and method for detecting an abnormal situation associated with a reactor
US7313453B2 (en) * 2004-09-27 2007-12-25 Rockwell Automation Technologies, Inc. Automated systems and methods employing attribute-based binding and configurable rules for selection of run time equipment
US7173539B2 (en) 2004-09-30 2007-02-06 Florida Power And Light Company Condition assessment system and method
US7702435B2 (en) * 2004-11-05 2010-04-20 Honeywell International Inc. Method and apparatus for system monitoring and maintenance
US8001527B1 (en) 2004-12-21 2011-08-16 Zenprise, Inc. Automated root cause analysis of problems associated with software application deployments
EP1853983B1 (en) * 2005-02-28 2010-10-06 Rosemount, Inc. Process connection for process diagnostics
US7222049B2 (en) * 2005-03-11 2007-05-22 Rosemount, Inc. User-viewable relative diagnostic output
JP2008535123A (en) 2005-04-04 2008-08-28 フィッシャー−ローズマウント システムズ, インコーポレイテッド Diagnostic system and method in an industrial process control system
US9201420B2 (en) 2005-04-08 2015-12-01 Rosemount, Inc. Method and apparatus for performing a function in a process plant using monitoring data with criticality evaluation data
US8005647B2 (en) * 2005-04-08 2011-08-23 Rosemount, Inc. Method and apparatus for monitoring and performing corrective measures in a process plant using monitoring data with corrective measures data
US8112565B2 (en) * 2005-06-08 2012-02-07 Fisher-Rosemount Systems, Inc. Multi-protocol field device interface with automatic bus detection
US7289863B2 (en) * 2005-08-18 2007-10-30 Brooks Automation, Inc. System and method for electronic diagnostics of a process vacuum environment
US7272531B2 (en) * 2005-09-20 2007-09-18 Fisher-Rosemount Systems, Inc. Aggregation of asset use indices within a process plant
US7679033B2 (en) * 2005-09-29 2010-03-16 Rosemount Inc. Process field device temperature control
US20070068225A1 (en) * 2005-09-29 2007-03-29 Brown Gregory C Leak detector for process valve
CN101305327A (en) * 2005-10-14 2008-11-12 费舍-柔斯芒特系统股份有限公司 Statistical signatures used with multivariate statistical analysis for fault detection and isolation and abnormal condition prevention in a process
US7660642B1 (en) 2005-11-04 2010-02-09 Tuszynski Steve W Dynamic control system for manufacturing processes
US7257501B2 (en) 2005-11-17 2007-08-14 Honeywell International Inc. Apparatus and method for identifying informative data in a process control environment
US8676357B2 (en) * 2005-12-20 2014-03-18 Fieldbus Foundation System and method for implementing an extended safety instrumented system
US7489977B2 (en) * 2005-12-20 2009-02-10 Fieldbus Foundation System and method for implementing time synchronization monitoring and detection in a safety instrumented system
US7827122B1 (en) 2006-03-09 2010-11-02 Rockwell Automation Technologies, Inc. Data mining of unfiltered controller data
US7672745B1 (en) 2006-03-20 2010-03-02 Tuszynski Steve W Manufacturing process analysis and optimization system
US8032234B2 (en) 2006-05-16 2011-10-04 Rosemount Inc. Diagnostics in process control and monitoring systems
US7913566B2 (en) 2006-05-23 2011-03-29 Rosemount Inc. Industrial process device utilizing magnetic induction
CN101501469B (en) * 2006-07-20 2011-04-27 西门子公司 Method for the diagnosis of a blockage of an impulse line in a pressure measurement transducer, and pressure measurement transducer
US8606544B2 (en) * 2006-07-25 2013-12-10 Fisher-Rosemount Systems, Inc. Methods and systems for detecting deviation of a process variable from expected values
US7657399B2 (en) * 2006-07-25 2010-02-02 Fisher-Rosemount Systems, Inc. Methods and systems for detecting deviation of a process variable from expected values
US7912676B2 (en) * 2006-07-25 2011-03-22 Fisher-Rosemount Systems, Inc. Method and system for detecting abnormal operation in a process plant
US8145358B2 (en) * 2006-07-25 2012-03-27 Fisher-Rosemount Systems, Inc. Method and system for detecting abnormal operation of a level regulatory control loop
US20080125877A1 (en) * 2006-09-12 2008-05-29 Fisher-Rosemount Systems, Inc. Process data collection system configuration for process plant diagnostics development
US20080065706A1 (en) * 2006-09-12 2008-03-13 Fisher-Rosemount Systems, Inc. Process Data Storage For Process Plant Diagnostics Development
US20080065705A1 (en) * 2006-09-12 2008-03-13 Fisher-Rosemount Systems, Inc. Process Data Collection for Process Plant Diagnostics Development
US7953501B2 (en) * 2006-09-25 2011-05-31 Fisher-Rosemount Systems, Inc. Industrial process control loop monitor
US8774204B2 (en) * 2006-09-25 2014-07-08 Fisher-Rosemount Systems, Inc. Handheld field maintenance bus monitor
US8788070B2 (en) * 2006-09-26 2014-07-22 Rosemount Inc. Automatic field device service adviser
US20080082295A1 (en) * 2006-09-28 2008-04-03 Fisher-Rosemount Systems, Inc. Abnormal situation prevention in a coker heater
WO2008040018A9 (en) * 2006-09-28 2011-03-03 Fisher-Rosemount Systems, Inc. Abnormal situation prevention in a heat exchanger
US7778797B2 (en) * 2006-09-28 2010-08-17 Fisher-Rosemount Systems, Inc. Method and system for detecting abnormal operation in a stirred vessel
US8010292B2 (en) 2006-09-28 2011-08-30 Fisher-Rosemount Systems, Inc. Method and system for detecting abnormal operation in a hydrocracker
WO2008042290A3 (en) 2006-09-29 2008-07-24 Rosemount Inc Magnetic flowmeter with verification
US8014880B2 (en) 2006-09-29 2011-09-06 Fisher-Rosemount Systems, Inc. On-line multivariate analysis in a distributed process control system
US20080120060A1 (en) * 2006-09-29 2008-05-22 Fisher-Rosemount Systems, Inc. Detection of catalyst losses in a fluid catalytic cracker for use in abnormal situation prevention
US20080116051A1 (en) * 2006-09-29 2008-05-22 Fisher-Rosemount Systems, Inc. Main column bottoms coking detection in a fluid catalytic cracker for use in abnormal situation prevention
US7424403B2 (en) * 2006-09-29 2008-09-09 Csi Technology, Inc. Low power vibration sensor and wireless transmitter system
US7822802B2 (en) * 2006-09-29 2010-10-26 Fisher-Rosemount Systems, Inc. Apparatus and method for merging wireless data into an established process control system
US20080188972A1 (en) * 2006-10-11 2008-08-07 Fisher-Rosemount Systems, Inc. Method and System for Detecting Faults in a Process Plant
US7684877B2 (en) * 2006-10-20 2010-03-23 Rockwell Automation Technologies, Inc. State propagation for modules
US7680550B2 (en) * 2006-10-20 2010-03-16 Rockwell Automation Technologies, Inc. Unit module state processing enhancements
US7676292B2 (en) 2006-10-20 2010-03-09 Rockwell Automation Technologies, Inc. Patterns employed for module design
US8601435B2 (en) * 2006-10-20 2013-12-03 Rockwell Automation Technologies, Inc. Module class subsets for industrial control
US7894917B2 (en) * 2006-10-20 2011-02-22 Rockwell Automation Technologies, Inc. Automatic fault tuning
US8392008B2 (en) 2006-10-20 2013-03-05 Rockwell Automation Technologies, Inc. Module arbitration and ownership enhancements
US7725200B2 (en) 2006-10-20 2010-05-25 Rockwell Automation Technologies, Inc. Validation of configuration settings in an industrial process
US7844349B2 (en) 2006-10-20 2010-11-30 Rockwell Automation Technologies, Inc. Standard MES interface for discrete manufacturing
US8032341B2 (en) * 2007-01-04 2011-10-04 Fisher-Rosemount Systems, Inc. Modeling a process using a composite model comprising a plurality of regression models
US8032340B2 (en) 2007-01-04 2011-10-04 Fisher-Rosemount Systems, Inc. Method and system for modeling a process variable in a process plant
US7827006B2 (en) * 2007-01-31 2010-11-02 Fisher-Rosemount Systems, Inc. Heat exchanger fouling detection
DE102007006084A1 (en) 2007-02-07 2008-09-25 Jacob, Christian E., Dr. Ing. Signal characteristic, harmonic and non-harmonic detecting method, involves resetting inverse synchronizing impulse, left inverse synchronizing impulse and output parameter in logic sequence of actions within condition
JP4585534B2 (en) * 2007-03-01 2010-11-24 富士通株式会社 System monitoring program, system monitoring method and system monitoring device
US20080288321A1 (en) * 2007-05-15 2008-11-20 Fisher-Rosemount Systems, Inc. Automatic maintenance estimation in a plant environment
DE102007027276A1 (en) * 2007-06-11 2008-12-18 Endress + Hauser Gmbh + Co. Kg Field device with an apparatus for performing diagnostic procedures
US20080313559A1 (en) * 2007-06-13 2008-12-18 Kulus Christian J Functionality for handheld field maintenance tools
JP4941748B2 (en) * 2007-07-19 2012-05-30 横河電機株式会社 Safety control system
EP2176470A4 (en) * 2007-07-20 2014-02-05 Rosemount Inc Differential pressure diagnostic for process fluid pulsations
US7770459B2 (en) * 2007-07-20 2010-08-10 Rosemount Inc. Differential pressure diagnostic for process fluid pulsations
US8898036B2 (en) * 2007-08-06 2014-11-25 Rosemount Inc. Process variable transmitter with acceleration sensor
US20090043539A1 (en) * 2007-08-08 2009-02-12 General Electric Company Method and system for automatically evaluating the performance of a power plant machine
US8301676B2 (en) * 2007-08-23 2012-10-30 Fisher-Rosemount Systems, Inc. Field device with capability of calculating digital filter coefficients
US7702401B2 (en) 2007-09-05 2010-04-20 Fisher-Rosemount Systems, Inc. System for preserving and displaying process control data associated with an abnormal situation
US9323247B2 (en) 2007-09-14 2016-04-26 Fisher-Rosemount Systems, Inc. Personalized plant asset data representation and search system
US7590511B2 (en) * 2007-09-25 2009-09-15 Rosemount Inc. Field device for digital process control loop diagnostics
US8055479B2 (en) 2007-10-10 2011-11-08 Fisher-Rosemount Systems, Inc. Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process
US8320751B2 (en) * 2007-12-20 2012-11-27 S.C. Johnson & Son, Inc. Volatile material diffuser and method of preventing undesirable mixing of volatile materials
US7693606B2 (en) * 2007-12-21 2010-04-06 Rosemount Inc. Diagnostics for mass flow control
US7840297B1 (en) 2008-03-14 2010-11-23 Tuszynski Steve W Dynamic control system for manufacturing processes including indirect process variable profiles
US8010212B2 (en) * 2008-04-09 2011-08-30 Inotera Memories, Inc. Fuzzy control method for adjusting a semiconductor machine
US8250924B2 (en) * 2008-04-22 2012-08-28 Rosemount Inc. Industrial process device utilizing piezoelectric transducer
US20090302588A1 (en) * 2008-06-05 2009-12-10 Autoliv Asp, Inc. Systems and methods for airbag tether release
US7869889B2 (en) * 2008-07-02 2011-01-11 Saudi Arabian Oil Company Distributed and adaptive smart logic with multi-communication apparatus for reliable safety system shutdown
US7977924B2 (en) * 2008-11-03 2011-07-12 Rosemount Inc. Industrial process power scavenging device and method of deriving process device power from an industrial process
US7921734B2 (en) * 2009-05-12 2011-04-12 Rosemount Inc. System to detect poor process ground connections
US8682630B2 (en) * 2009-06-15 2014-03-25 International Business Machines Corporation Managing component coupling in an object-centric process implementation
US8228946B2 (en) * 2009-07-29 2012-07-24 General Electric Company Method for fail-safe communication
US8864378B2 (en) * 2010-06-07 2014-10-21 Rosemount Inc. Process variable transmitter with thermocouple polarity detection
CN103140814B (en) * 2010-10-11 2016-08-03 通用电气公司 For shifting system detects the redundant sensor signals, a method and apparatus
US9207670B2 (en) * 2011-03-21 2015-12-08 Rosemount Inc. Degrading sensor detection implemented within a transmitter
US9927788B2 (en) 2011-05-19 2018-03-27 Fisher-Rosemount Systems, Inc. Software lockout coordination between a process control system and an asset management system
CN102953967A (en) * 2011-08-30 2013-03-06 上海宝钢工业检测公司 Failure prewarning method for process fan of rolling mill continuous annealing unit
US8762301B1 (en) 2011-10-12 2014-06-24 Metso Automation Usa Inc. Automated determination of root cause
US8930046B2 (en) 2011-11-16 2015-01-06 Textron Innovations Inc. Derived rate monitor for detection of degradation of fuel control servo valves
DE102012000187B4 (en) 2012-01-09 2014-02-27 Krohne Messtechnik Gmbh Method for monitoring of a transmitter and a corresponding transmitter
US9529348B2 (en) 2012-01-24 2016-12-27 Emerson Process Management Power & Water Solutions, Inc. Method and apparatus for deploying industrial plant simulators using cloud computing technologies
US9052240B2 (en) 2012-06-29 2015-06-09 Rosemount Inc. Industrial process temperature transmitter with sensor stress diagnostics
US9207129B2 (en) 2012-09-27 2015-12-08 Rosemount Inc. Process variable transmitter with EMF detection and correction
US9602122B2 (en) 2012-09-28 2017-03-21 Rosemount Inc. Process variable measurement noise diagnostic
JP6150119B2 (en) * 2013-07-22 2017-06-21 株式会社ジェイテクト Rack bush
US9551599B2 (en) * 2013-09-23 2017-01-24 Rosemount Inc. Normalized process dynamics
US9250108B2 (en) 2013-09-27 2016-02-02 Rosemount Inc. Differential pressure based flow measurement device having improved pitot tube configuration
US9347847B2 (en) 2014-08-19 2016-05-24 Honeywell International Inc. Pressure transmitter with impulse line plugging diagnostic
JP2016217733A (en) * 2015-05-14 2016-12-22 株式会社キーエンス Ultrasonic wave flow rate switch
DE102016114846A1 (en) * 2016-08-10 2018-02-15 Endress+Hauser Gmbh+Co. Kg Differential pressure measuring device and method for detecting plugged impulse lines
DE102016221662A1 (en) * 2016-11-04 2018-05-09 Ifm Electronic Gmbh IO-Link Adapter

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5053815A (en) * 1990-04-09 1991-10-01 Eastman Kodak Company Reproduction apparatus having real time statistical process control
EP0487419A2 (en) * 1990-11-21 1992-05-27 Seiko Epson Corporation Device for production control and method for production control using the same
EP0594227A1 (en) * 1992-05-08 1994-04-27 Iberditan, S.L. Automatic control system of press compaction
EP0644470A2 (en) * 1993-08-05 1995-03-22 Nec Corporation Production control system selecting optimum dispatching rule
DE4433593A1 (en) * 1993-11-30 1995-06-01 Buehler Ag Controlling the output of a food processing unit, e.g. extruder
US5440478A (en) * 1994-02-22 1995-08-08 Mercer Forge Company Process control method for improving manufacturing operations

Family Cites Families (236)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US29383A (en) * 1860-07-31 Improvement in preserving food
BE610973A (en) 1960-12-02
US3096434A (en) * 1961-11-28 1963-07-02 Daniel Orifice Fitting Company Multiple integration flow computer
US3404264A (en) * 1965-07-19 1968-10-01 American Meter Co Telemetering system for determining rate of flow
US3468164A (en) 1966-08-26 1969-09-23 Westinghouse Electric Corp Open thermocouple detection apparatus
GB1224904A (en) 1968-08-09 1971-03-10 John Stewart Simpson Stewart Improvements in and relating to electromedical apparatus
US3590370A (en) 1969-04-09 1971-06-29 Leeds & Northrup Co Method and apparatus for detecting the open-circuit condition of a thermocouple by sending a pulse through the thermocouple and a reactive element in series
US3701280A (en) * 1970-03-18 1972-10-31 Daniel Ind Inc Method and apparatus for determining the supercompressibility factor of natural gas
US3691842A (en) 1970-09-08 1972-09-19 Beckman Instruments Inc Differential pressure transducer
US3688190A (en) 1970-09-25 1972-08-29 Beckman Instruments Inc Differential capacitance circuitry for differential pressure measuring instruments
US3849637A (en) * 1973-05-22 1974-11-19 Combustion Eng Reactor megawatt demand setter
US3855858A (en) 1973-08-01 1974-12-24 V Cushing Self synchronous noise rejection circuit for fluid velocity meter
USRE29383E (en) 1974-01-10 1977-09-06 Process Systems, Inc. Digital fluid flow rate measurement or control system
US3952759A (en) * 1974-08-14 1976-04-27 M & J Valve Company Liquid line break control system and method
US3973184A (en) 1975-01-27 1976-08-03 Leeds & Northrup Company Thermocouple circuit detector for simultaneous analog trend recording and analog to digital conversion
GB1534280A (en) 1975-02-28 1978-11-29 Solartron Electronic Group Method and apparatus for testing thermocouples
US4058975A (en) * 1975-12-08 1977-11-22 General Electric Company Gas turbine temperature sensor validation apparatus and method
US4099413A (en) * 1976-06-25 1978-07-11 Yokogawa Electric Works, Ltd. Thermal noise thermometer
US4102199A (en) 1976-08-26 1978-07-25 Megasystems, Inc. RTD measurement system
US4122719A (en) 1977-07-08 1978-10-31 Environmental Systems Corporation System for accurate measurement of temperature
US4250490A (en) 1979-01-19 1981-02-10 Rosemount Inc. Two wire transmitter for converting a varying signal from a remote reactance sensor to a DC current signal
US4249164A (en) 1979-05-14 1981-02-03 Tivy Vincent V Flow meter
US4279013A (en) * 1979-10-31 1981-07-14 The Valeron Corporation Machine process controller
US4337516A (en) * 1980-06-26 1982-06-29 United Technologies Corporation Sensor fault detection by activity monitoring
DE3213866A1 (en) 1980-12-18 1983-10-27 Siemens Ag Method and circuit arrangement for determining the value of the ohmic resistance of an object being measured
US4417312A (en) * 1981-06-08 1983-11-22 Worcester Controls Corporation Electronic controller for valve actuators
US4399824A (en) 1981-10-05 1983-08-23 Air-Shields, Inc. Apparatus for detecting probe dislodgement
US4571689A (en) 1982-10-20 1986-02-18 The United States Of America As Represented By The Secretary Of The Air Force Multiple thermocouple testing device
US4565456A (en) * 1983-04-13 1986-01-21 Omron Tateisi Electronics Co. Electronic thermometer
US4668473A (en) 1983-04-25 1987-05-26 The Babcock & Wilcox Company Control system for ethylene polymerization reactor
JPH0619666B2 (en) * 1983-06-30 1994-03-16 いすゞ自動車株式会社 Failure diagnosis processing system
US4530234A (en) * 1983-06-30 1985-07-23 Mobil Oil Corporation Method and system for measuring properties of fluids
US4707796A (en) * 1983-10-19 1987-11-17 Calabro Salvatore R Reliability and maintainability indicator
EP0158192B1 (en) 1984-03-31 1991-06-05 B a r m a g AG Measurement data acquisition method for a plurality of measurement points
US4649515A (en) * 1984-04-30 1987-03-10 Westinghouse Electric Corp. Methods and apparatus for system fault diagnosis and control
US4517468A (en) * 1984-04-30 1985-05-14 Westinghouse Electric Corp. Diagnostic system and method
US4644479A (en) * 1984-07-31 1987-02-17 Westinghouse Electric Corp. Diagnostic apparatus
US4642782A (en) * 1984-07-31 1987-02-10 Westinghouse Electric Corp. Rule based diagnostic system with dynamic alteration capability
US4663539A (en) * 1984-11-29 1987-05-05 Burroughs Corporation Local power switching control subsystem
JPH0734162B2 (en) * 1985-02-06 1995-04-12 株式会社日立製作所 Analogy control method
US5179540A (en) * 1985-11-08 1993-01-12 Harris Corporation Programmable chip enable logic function
DE3540204C1 (en) 1985-11-13 1986-09-25 Daimler Benz Ag Device in a motor vehicle for displaying the outside temperature
GB8611360D0 (en) * 1986-05-09 1986-06-18 Eaton Williams Raymond H Air condition monitor unit
JPH0582895B2 (en) * 1986-08-07 1993-11-22 Terumo Corp
US4736367A (en) 1986-12-22 1988-04-05 Chrysler Motors Corporation Smart control and sensor devices single wire bus multiplex system
US5005142A (en) * 1987-01-30 1991-04-02 Westinghouse Electric Corp. Smart sensor system for diagnostic monitoring
US4736763A (en) 1987-02-26 1988-04-12 Britton George L Automatic device for the detection and shutoff of unwanted liquid flow in pipes
EP0308455B1 (en) * 1987-04-02 1993-01-27 Eftag Entstaubungs- Und Fördertechnik Ag Circuit arrangement for evaluating a signal produced by a semiconductor sensor
US5122794A (en) 1987-08-11 1992-06-16 Rosemount Inc. Dual master implied token communication system
US4873655A (en) * 1987-08-21 1989-10-10 Board Of Regents, The University Of Texas System Sensor conditioning method and apparatus
US4907167A (en) * 1987-09-30 1990-03-06 E. I. Du Pont De Nemours And Company Process control system with action logging
US4831564A (en) * 1987-10-22 1989-05-16 Suga Test Instruments Co., Ltd. Apparatus for estimating and displaying remainder of lifetime of xenon lamps
US4818994A (en) 1987-10-22 1989-04-04 Rosemount Inc. Transmitter with internal serial bus
US5274572A (en) * 1987-12-02 1993-12-28 Schlumberger Technology Corporation Method and apparatus for knowledge-based signal monitoring and analysis
US5193143A (en) * 1988-01-12 1993-03-09 Honeywell Inc. Problem state monitoring
US5488697A (en) * 1988-01-12 1996-01-30 Honeywell Inc. Problem state monitoring system
US4841286A (en) 1988-02-08 1989-06-20 Honeywell Inc. Apparatus and method for detection of an open thermocouple in a process control network
US4924418A (en) * 1988-02-10 1990-05-08 Dickey-John Corporation Universal monitor
JPH0774961B2 (en) * 1988-04-07 1995-08-09 株式会社日立製作所 Auto-Chi Yu training pid Controller
US4964125A (en) * 1988-08-19 1990-10-16 Hughes Aircraft Company Method and apparatus for diagnosing faults
US5197328A (en) * 1988-08-25 1993-03-30 Fisher Controls International, Inc. Diagnostic apparatus and method for fluid control valves
US5099436A (en) * 1988-11-03 1992-03-24 Allied-Signal Inc. Methods and apparatus for performing system fault diagnosis
US5067099A (en) * 1988-11-03 1991-11-19 Allied-Signal Inc. Methods and apparatus for monitoring system performance
EP0369489A3 (en) * 1988-11-18 1991-11-27 Omron Corporation Sensor controller system
JP2714091B2 (en) * 1989-01-09 1998-02-16 株式会社日立製作所 Field instruments
US5098197A (en) * 1989-01-30 1992-03-24 The United States Of America As Represented By The United States Department Of Energy Optical Johnson noise thermometry
US5089979A (en) 1989-02-08 1992-02-18 Basic Measuring Instruments Apparatus for digital calibration of detachable transducers
US5081598A (en) * 1989-02-21 1992-01-14 Westinghouse Electric Corp. Method for associating text in automatic diagnostic system to produce recommended actions automatically
US4939753A (en) 1989-02-24 1990-07-03 Rosemount Inc. Time synchronization of control networks
DE4008560C2 (en) 1989-03-17 1995-11-02 Hitachi Ltd Method and apparatus for determining a remaining service life of an aggregate
JPH0692914B2 (en) * 1989-04-14 1994-11-16 株式会社日立製作所 Equipment / equipment condition diagnosis system
US4988990A (en) 1989-05-09 1991-01-29 Rosemount Inc. Dual master implied token communication system
US5089984A (en) * 1989-05-15 1992-02-18 Allen-Bradley Company, Inc. Adaptive alarm controller changes multiple inputs to industrial controller in order for state word to conform with stored state word
US4934196A (en) * 1989-06-02 1990-06-19 Micro Motion, Inc. Coriolis mass flow rate meter having a substantially increased noise immunity
JPH0650557B2 (en) 1989-07-04 1994-06-29 株式会社日立製作所 Communication system of field instruments
US5269311A (en) 1989-08-29 1993-12-14 Abbott Laboratories Method for compensating errors in a pressure transducer
US5293585A (en) * 1989-08-31 1994-03-08 Kabushiki Kaisha Toshiba Industrial expert system
JP2712625B2 (en) 1989-09-19 1998-02-16 横河電機株式会社 Signal transmitter
JP2656637B2 (en) * 1989-11-22 1997-09-24 株式会社日立製作所 Process control system and the power plant process control system
JPH03166601A (en) * 1989-11-27 1991-07-18 Hitachi Ltd Symbolizing device and process controller and control supporting device using the symbolizing device
CA2031765C (en) * 1989-12-08 1996-02-20 Masahide Nomura Method and system for performing control conforming with characteristics of controlled system
US5633809A (en) 1989-12-22 1997-05-27 American Sigma, Inc. Multi-function flow monitoring apparatus with area velocity sensor capability
US5111531A (en) * 1990-01-08 1992-05-05 Automation Technology, Inc. Process control using neural network
JP2753592B2 (en) 1990-01-18 1998-05-20 横河電機株式会社 2-wire instrument
JP2712701B2 (en) 1990-02-02 1998-02-16 横河電機株式会社 Pressure Transmitter
US5235527A (en) * 1990-02-09 1993-08-10 Toyota Jidosha Kabushiki Kaisha Method for diagnosing abnormality of sensor
US5134574A (en) * 1990-02-27 1992-07-28 The Foxboro Company Performance control apparatus and method in a processing plant
US5122976A (en) * 1990-03-12 1992-06-16 Westinghouse Electric Corp. Method and apparatus for remotely controlling sensor processing algorithms to expert sensor diagnoses
EP0460892B1 (en) * 1990-06-04 1996-09-04 Hitachi, Ltd. A control device for controlling a controlled apparatus, and a control method therefor
US5142612A (en) * 1990-08-03 1992-08-25 E. I. Du Pont De Nemours & Co. (Inc.) Computer neural network supervisory process control system and method
US5121467A (en) * 1990-08-03 1992-06-09 E.I. Du Pont De Nemours & Co., Inc. Neural network/expert system process control system and method
US5282261A (en) * 1990-08-03 1994-01-25 E. I. Du Pont De Nemours And Co., Inc. Neural network process measurement and control
US5167009A (en) * 1990-08-03 1992-11-24 E. I. Du Pont De Nemours & Co. (Inc.) On-line process control neural network using data pointers
US5224203A (en) * 1990-08-03 1993-06-29 E. I. Du Pont De Nemours & Co., Inc. On-line process control neural network using data pointers
US5197114A (en) * 1990-08-03 1993-03-23 E. I. Du Pont De Nemours & Co., Inc. Computer neural network regulatory process control system and method
US5212765A (en) * 1990-08-03 1993-05-18 E. I. Du Pont De Nemours & Co., Inc. On-line training neural network system for process control
US5175678A (en) * 1990-08-15 1992-12-29 Elsag International B.V. Method and procedure for neural control of dynamic processes
US5130936A (en) * 1990-09-14 1992-07-14 Arinc Research Corporation Method and apparatus for diagnostic testing including a neural network for determining testing sufficiency
DE69128996D1 (en) * 1990-10-10 1998-04-09 Honeywell Inc Identification of a process system
US5367612A (en) * 1990-10-30 1994-11-22 Science Applications International Corporation Neurocontrolled adaptive process control system
US5265031A (en) * 1990-11-26 1993-11-23 Praxair Technology, Inc. Diagnostic gas monitoring process utilizing an expert system
US5214582C1 (en) * 1991-01-30 2001-06-26 Edge Diagnostic Systems Interactive diagnostic system for an automobile vehicle and method
US5143452A (en) 1991-02-04 1992-09-01 Rockwell International Corporation System for interfacing a single sensor unit with multiple data processing modules
DE69228803D1 (en) * 1991-02-05 1999-05-06 Storage Technology Corp Louisv Maintenance apparatus and procedures triggered by knowledge-based machine
EP0655887B1 (en) 1992-08-22 1996-05-22 CLAAS KGaA Mass flow rate measurement device
US5137370A (en) 1991-03-25 1992-08-11 Delta M Corporation Thermoresistive sensor system
US5357449A (en) * 1991-04-26 1994-10-18 Texas Instruments Incorporated Combining estimates using fuzzy sets
WO1992020026A1 (en) * 1991-05-03 1992-11-12 Storage Technology Corporation Knowledge based resource management
US5114664A (en) 1991-05-06 1992-05-19 General Electric Company Method for in situ evaluation of capacitive type pressure transducers in a nuclear power plant
US5671335A (en) * 1991-05-23 1997-09-23 Allen-Bradley Company, Inc. Process optimization using a neural network
US5317520A (en) * 1991-07-01 1994-05-31 Moore Industries International Inc. Computerized remote resistance measurement system with fault detection
JP3182807B2 (en) 1991-09-20 2001-07-03 株式会社日立製作所 Multifunctional fluid measurement transmission apparatus and fluid volume measurement control system using the same
US5365787A (en) 1991-10-02 1994-11-22 Monitoring Technology Corp. Noninvasive method and apparatus for determining resonance information for rotating machinery components and for anticipating component failure from changes therein
DE4133237C2 (en) * 1991-10-05 2001-10-11 Bosch Gmbh Robert System for chassis control
US5414645A (en) * 1991-10-25 1995-05-09 Mazda Motor Corporation Method of fault diagnosis in an apparatus having sensors
US5327357A (en) * 1991-12-03 1994-07-05 Praxair Technology, Inc. Method of decarburizing molten metal in the refining of steel using neural networks
DE69210041T2 (en) * 1991-12-13 1996-10-31 Honeywell Inc Design of piezoresistive silicon pressure sensor from
US5365423A (en) * 1992-01-08 1994-11-15 Rockwell International Corporation Control system for distributed sensors and actuators
US5282131A (en) * 1992-01-21 1994-01-25 Brown And Root Industrial Services, Inc. Control system for controlling a pulp washing system using a neural network controller
US5349541A (en) * 1992-01-23 1994-09-20 Electric Power Research Institute, Inc. Method and apparatus utilizing neural networks to predict a specified signal value within a multi-element system
EP0565761B1 (en) * 1992-04-15 1997-07-09 Mita Industrial Co. Ltd. An image forming apparatus provided with self-diagnosis system
GB9208704D0 (en) * 1992-04-22 1992-06-10 Foxboro Ltd Improvements in and relating to sensor units
US5774378A (en) 1993-04-21 1998-06-30 The Foxboro Company Self-validating sensors
JP2783059B2 (en) 1992-04-23 1998-08-06 株式会社日立製作所 Process state detecting device, and a semiconductor sensor and its status indicator
JP3100757B2 (en) * 1992-06-02 2000-10-23 三菱電機株式会社 Monitoring diagnostic equipment
FR2692037B1 (en) * 1992-06-03 1997-08-08 Thomson Csf Diagnostic Method for an evolutionary process.
GB2267783B (en) 1992-06-09 1996-08-28 British Aerospace Beam forming
CA2097558C (en) * 1992-06-16 2001-08-21 William B. Kilgore Directly connected display of process control system in an open systems windows environment
US5384699A (en) * 1992-08-24 1995-01-24 Associated Universities, Inc. Preventive maintenance system for the photomultiplier detector blocks of pet scanners
US5477444A (en) * 1992-09-14 1995-12-19 Bhat; Naveen V. Control system using an adaptive neural network for target and path optimization for a multivariable, nonlinear process
US5347843A (en) 1992-09-23 1994-09-20 Korr Medical Technologies Inc. Differential pressure flowmeter with enhanced signal processing for respiratory flow measurement
US5469070A (en) 1992-10-16 1995-11-21 Rosemount Analytical Inc. Circuit for measuring source resistance of a sensor
US5228780A (en) * 1992-10-30 1993-07-20 Martin Marietta Energy Systems, Inc. Dual-mode self-validating resistance/Johnson noise thermometer system
US5388465A (en) 1992-11-17 1995-02-14 Yamatake-Honeywell Co., Ltd. Electromagnetic flowmeter
DE4343747A1 (en) 1992-12-24 1994-06-30 Vaillant Joh Gmbh & Co Temp. sensor function control system
US5486996A (en) * 1993-01-22 1996-01-23 Honeywell Inc. Parameterized neurocontrollers
US5341307A (en) * 1993-02-19 1994-08-23 K-Tron Technologies, Inc. Apparatus and method for controlling flow rate in vibratory feeders
US5394341A (en) * 1993-03-25 1995-02-28 Ford Motor Company Apparatus for detecting the failure of a sensor
FR2705155A1 (en) * 1993-05-12 1994-11-18 Philips Laboratoire Electroniq Apparatus and method for generating an approximation function.
US5361628A (en) * 1993-08-02 1994-11-08 Ford Motor Company System and method for processing test measurements collected from an internal combustion engine for diagnostic purposes
US5539638A (en) 1993-08-05 1996-07-23 Pavilion Technologies, Inc. Virtual emissions monitor for automobile
US5386373A (en) * 1993-08-05 1995-01-31 Pavilion Technologies, Inc. Virtual continuous emission monitoring system with sensor validation
CA2129761A1 (en) * 1993-08-11 1995-02-12 David G. Taylor Self-tuning tracking controller for permanent-magnet synchronous motors
US5549137A (en) 1993-08-25 1996-08-27 Rosemount Inc. Valve positioner with pressure feedback, dynamic correction and diagnostics
US5404064A (en) * 1993-09-02 1995-04-04 The United States Of America As Represented By The Secretary Of The Navy Low-frequency electrostrictive ceramic plate voltage sensor
EP0717869B1 (en) 1993-09-07 2000-02-23 Rosemount Inc. Multivariable transmitter
US5489831A (en) * 1993-09-16 1996-02-06 Honeywell Inc. Pulse width modulating motor controller
US5481199A (en) 1993-09-24 1996-01-02 Anderson; Karl F. System for improving measurement accuracy of transducer by measuring transducer temperature and resistance change using thermoelectric voltages
US5408406A (en) * 1993-10-07 1995-04-18 Honeywell Inc. Neural net based disturbance predictor for model predictive control
US5442639A (en) 1993-10-12 1995-08-15 Ship Star Associates, Inc. Method and apparatus for monitoring a communications network
JP2893233B2 (en) * 1993-12-09 1999-05-17 株式会社ユニシアジェックス Diagnostic device of the in-cylinder pressure sensor
US5526293A (en) 1993-12-17 1996-06-11 Texas Instruments Inc. System and method for controlling semiconductor wafer processing
US5583688A (en) 1993-12-21 1996-12-10 Texas Instruments Incorporated Multi-level digital micromirror device
US5434774A (en) 1994-03-02 1995-07-18 Fisher Controls International, Inc. Interface apparatus for two-wire communication in process control loops
US5436705A (en) 1994-04-18 1995-07-25 Xerox Corporation Adaptive process controller for electrophotographic printing
US5528516A (en) * 1994-05-25 1996-06-18 System Management Arts, Inc. Apparatus and method for event correlation and problem reporting
FR2720498B1 (en) 1994-05-27 1996-08-09 Schlumberger Services Petrol Multiphase flow meter.
US5483387A (en) * 1994-07-22 1996-01-09 Honeywell, Inc. High pass optical filter
US5608650A (en) 1994-08-19 1997-03-04 Spectrel Partners, L.L.C. Systems and methods for testing pump flow rates
US5623605A (en) 1994-08-29 1997-04-22 Lucent Technologies Inc. Methods and systems for interprocess communication and inter-network data transfer
US5669713A (en) 1994-09-27 1997-09-23 Rosemount Inc. Calibration of process control temperature transmitter
US5704011A (en) * 1994-11-01 1997-12-30 The Foxboro Company Method and apparatus for providing multivariable nonlinear control
US5600148A (en) * 1994-12-30 1997-02-04 Honeywell Inc. Low power infrared scene projector array and method of manufacture
DE19502499A1 (en) 1995-01-27 1996-08-01 Pepperl & Fuchs ASI-slaves control and activation bus-system
US5637802A (en) 1995-02-28 1997-06-10 Rosemount Inc. Capacitive pressure sensor for a pressure transmitted where electric field emanates substantially from back sides of plates
US5708585A (en) 1995-03-20 1998-01-13 General Motors Corporation Combustible gas measurement
US5572420A (en) * 1995-04-03 1996-11-05 Honeywell Inc. Method of optimal controller design for multivariable predictive control utilizing range control
GB2301901B (en) * 1995-06-05 1999-04-07 Nippon Denso Co Apparatus and method for diagnosing degradation or malfunction of oxygen sensor
US5741074A (en) 1995-06-06 1998-04-21 Thermo Electrioc Corporation Linear integrated sensing transmitter sensor
EP0830576A1 (en) 1995-06-06 1998-03-25 Rosemount Inc. Open sensor diagnostic system for temperature transmitter in a process control system
US5561599A (en) * 1995-06-14 1996-10-01 Honeywell Inc. Method of incorporating independent feedforward control in a multivariable predictive controller
US5742845A (en) 1995-06-22 1998-04-21 Datascape, Inc. System for extending present open network communication protocols to communicate with non-standard I/O devices directly coupled to an open network
US5736649A (en) 1995-08-23 1998-04-07 Tokico Ltd. Vortex flowmeter
US5705978A (en) 1995-09-29 1998-01-06 Rosemount Inc. Process control transmitter
JP3263296B2 (en) 1995-10-26 2002-03-04 株式会社東芝 Electromagnetic flow meter
US5940290A (en) 1995-12-06 1999-08-17 Honeywell Inc. Method of predictive maintenance of a process control system having fluid movement
CA2165400C (en) * 1995-12-15 1999-04-20 Jean Serodes Method of predicting residual chlorine in water supply systems
US6014902A (en) 1995-12-28 2000-01-18 The Foxboro Company Magnetic flowmeter with diagnostics
US5746511A (en) 1996-01-03 1998-05-05 Rosemount Inc. Temperature transmitter with on-line calibration using johnson noise
US5700090A (en) 1996-01-03 1997-12-23 Rosemount Inc. Temperature sensor transmitter with sensor sheath lead
US5817950A (en) 1996-01-04 1998-10-06 Rosemount Inc. Flow measurement compensation technique for use with an averaging pitot tube type primary element
EP0875023B1 (en) 1996-01-17 1999-09-08 Siemens Aktiengesellschaft Automation device
DE29600609U1 (en) 1996-01-17 1997-02-13 Siemens Ag automation equipment
US5801689A (en) 1996-01-22 1998-09-01 Extended Systems, Inc. Hypertext based remote graphic user interface control system
US6209048B1 (en) 1996-02-09 2001-03-27 Ricoh Company, Ltd. Peripheral with integrated HTTP server for remote access using URL's
US5764891A (en) 1996-02-15 1998-06-09 Rosemount Inc. Process I/O to fieldbus interface circuit
US5665899A (en) 1996-02-23 1997-09-09 Rosemount Inc. Pressure sensor diagnostics in a process transmitter
US6017143A (en) * 1996-03-28 2000-01-25 Rosemount Inc. Device in a process system for detecting events
US5909368A (en) 1996-04-12 1999-06-01 Fisher-Rosemount Systems, Inc. Process control system using a process control strategy distributed among multiple control elements
GB2312292B (en) 1996-04-19 1999-09-29 Independent Measurement Limite Apparatus for measuring the velocity of a fluid flowing in a conduit
US5710370A (en) 1996-05-17 1998-01-20 Dieterich Technology Holding Corp. Method for calibrating a differential pressure fluid flow measuring system
US5752008A (en) 1996-05-28 1998-05-12 Fisher-Rosemount Systems, Inc. Real-time process control simulation method and apparatus
US5708211A (en) 1996-05-28 1998-01-13 Ohio University Flow regime determination and flow measurement in multiphase flow pipelines
US5805442A (en) 1996-05-30 1998-09-08 Control Technology Corporation Distributed interface architecture for programmable industrial control systems
US5728947A (en) 1996-06-12 1998-03-17 Asahi/America, Inc. Ultrasonic vortex flowmeter having clamp-on housing
US5680109A (en) 1996-06-21 1997-10-21 The Foxboro Company Impulse line blockage detector systems and methods
EP0825506B1 (en) 1996-08-20 2013-03-06 Invensys Systems, Inc. Methods and apparatus for remote process control
US5713668A (en) 1996-08-23 1998-02-03 Accutru International Corporation Self-verifying temperature sensor
US6023399A (en) 1996-09-24 2000-02-08 Hitachi, Ltd. Decentralized control system and shutdown control apparatus
US5936514A (en) 1996-09-27 1999-08-10 Rosemount Inc. Power supply input circuit for field instrument
US6047222A (en) 1996-10-04 2000-04-04 Fisher Controls International, Inc. Process control network with redundant field devices and buses
US5970430A (en) 1996-10-04 1999-10-19 Fisher Controls International, Inc. Local device and process diagnostics in a process control network having distributed control functions
CA2267502C (en) 1996-10-04 2007-03-20 Fisher Controls International, Inc. A network accessible interface for a process control network
US5859964A (en) 1996-10-25 1999-01-12 Advanced Micro Devices, Inc. System and method for performing real time data acquisition, process modeling and fault detection of wafer fabrication processes
US5956487A (en) 1996-10-25 1999-09-21 Hewlett-Packard Company Embedding web access mechanism in an appliance for user interface functions including a web server and web browser
US5956663A (en) 1996-11-07 1999-09-21 Rosemount, Inc. Signal processing technique which separates signal components in a sensor for sensor diagnostics
US5828567A (en) 1996-11-07 1998-10-27 Rosemount Inc. Diagnostics for resistance based transmitter
US5719378A (en) 1996-11-19 1998-02-17 Illinois Tool Works, Inc. Self-calibrating temperature controller
US6119529A (en) 1996-11-28 2000-09-19 Sgs-Thomson Microelectronics S.R.L. Fluid flow meter and corresponding flow measuring methods
JP4643771B2 (en) 1996-12-31 2011-03-02 ローズマウント インコーポレイテッド Method and apparatus for verifying the validity of the control signals from the field devices
JPH10198657A (en) 1997-01-08 1998-07-31 Toshiba Corp Signal processor
DE19703359A1 (en) 1997-01-30 1998-08-06 Telefunken Microelectron A method for temperature compensation in measuring systems
JPH10261185A (en) 1997-03-19 1998-09-29 Hitachi Instr Eng Co Ltd Input/output coexisting type signal converter
US5848383A (en) 1997-05-06 1998-12-08 Integrated Sensor Solutions System and method for precision compensation for the nonlinear offset and sensitivity variation of a sensor with temperature
DE19724167C2 (en) 1997-06-07 1999-07-15 Deutsch Zentr Luft & Raumfahrt Method and apparatus for determining a measured value of a Zielmeßgröße a multi-phase flow
US5923557A (en) 1997-08-01 1999-07-13 Hewlett-Packard Company Method and apparatus for providing a standard interface to process control devices that are adapted to differing field-bus protocols
DE19742716C5 (en) 1997-09-26 2005-12-01 Phoenix Contact Gmbh & Co. Kg Control and data transmission system and method for transferring safety-related data
CN1177266C (en) 1997-10-13 2004-11-24 罗斯蒙德公司 Field process equipment in industrial process and forming method thereof
US6311136B1 (en) 1997-11-26 2001-10-30 Invensys Systems, Inc. Digital flowmeter
US6112131A (en) 1998-02-06 2000-08-29 Zellweger Uster, Inc. Gin process control
US6199018B1 (en) 1998-03-04 2001-03-06 Emerson Electric Co. Distributed diagnostic system
US6016523A (en) 1998-03-09 2000-01-18 Schneider Automation, Inc. I/O modular terminal having a plurality of data registers and an identification register and providing for interfacing between field devices and a field master
US6139180A (en) 1998-03-27 2000-10-31 Vesuvius Crucible Company Method and system for testing the accuracy of a thermocouple probe used to measure the temperature of molten steel
US6072150A (en) 1998-05-27 2000-06-06 Beamworks Ltd. Apparatus and method for in-line soldering
FI114745B (en) 1998-06-01 2004-12-15 Metso Automation Oy Field Equipment Management System
US6360277B1 (en) 1998-07-22 2002-03-19 Crydom Corporation Addressable intelligent relay
US6327914B1 (en) 1998-09-30 2001-12-11 Micro Motion, Inc. Correction of coriolis flowmeter measurements due to multiphase flows
GB9821972D0 (en) 1998-10-08 1998-12-02 Abb Kent Taylor Ltd Flowmeter logging
US6298454B1 (en) 1999-02-22 2001-10-02 Fisher-Rosemount Systems, Inc. Diagnostics in a process control system
EP1058093B1 (en) 1999-05-29 2003-01-29 MTL Instruments GmbH Method and circuit for powering and monitoring the functioning of at least one sensor
US6356191B1 (en) 1999-06-17 2002-03-12 Rosemount Inc. Error compensation for a process fluid temperature transmitter
DE19930660A1 (en) 1999-07-02 2001-01-11 Siemens Ag Method for monitoring or installing new program codes in an industrial plant
US6425038B1 (en) 1999-09-28 2002-07-23 Rockwell Automation Technologies, Inc. Conversion of desk-top operating system for real-time control using installable interrupt service routines
DE29917651U1 (en) 1999-10-07 2000-11-09 Siemens Ag Transmitter and process control system
US7506440B2 (en) 2005-06-28 2009-03-24 General Electric Company Titanium treatment to minimize fretting
US8651016B2 (en) 2011-05-02 2014-02-18 Heat And Control, Inc. Unitized vacuum fryer

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5053815A (en) * 1990-04-09 1991-10-01 Eastman Kodak Company Reproduction apparatus having real time statistical process control
EP0487419A2 (en) * 1990-11-21 1992-05-27 Seiko Epson Corporation Device for production control and method for production control using the same
EP0594227A1 (en) * 1992-05-08 1994-04-27 Iberditan, S.L. Automatic control system of press compaction
EP0644470A2 (en) * 1993-08-05 1995-03-22 Nec Corporation Production control system selecting optimum dispatching rule
DE4433593A1 (en) * 1993-11-30 1995-06-01 Buehler Ag Controlling the output of a food processing unit, e.g. extruder
US5440478A (en) * 1994-02-22 1995-08-08 Mercer Forge Company Process control method for improving manufacturing operations

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
C.LOWRY ET AL: "THE PERFORMANCE OF CONTROL CHARTS FOR MONITORING PROCESS VARIATION", COMMUN.STATIST.-SIMULA, vol. 24, no. 2, 1995, USA, pages 409 - 437, XP000675273 *
P.LOVE ET AL: "A KNOWLEDGE BASED APPROACH FOR DETECTION AND DIAGNOSING OF OUT OF CONTROL EVENTS IN MANUFACTURING PROCESSES", PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 24 August 1988 (1988-08-24), USA, pages 736 - 741, XP000675296 *
R.WEISMAN: "ON-LINE STATISTICAL PROCESS CONTROL FOR A GLASS TANK INGREDIENT SCALE", PROCEEDINGS OF THE 13TH IFAC/IFIP WORKSHOP, 7 October 1985 (1985-10-07), USA, pages 29 - 38, XP000674189 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102006004582B4 (en) * 2006-02-01 2010-08-19 Siemens Ag A method for diagnosing a blockage of a pulse line with a pressure transmitter and pressure transmitter

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US6532392B1 (en) 2003-03-11 grant
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US6397114B1 (en) 2002-05-28 grant

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