CN112594114A - Adaptive intelligent diagnosis method and system for health state of proportional valve - Google Patents

Adaptive intelligent diagnosis method and system for health state of proportional valve Download PDF

Info

Publication number
CN112594114A
CN112594114A CN202011428970.3A CN202011428970A CN112594114A CN 112594114 A CN112594114 A CN 112594114A CN 202011428970 A CN202011428970 A CN 202011428970A CN 112594114 A CN112594114 A CN 112594114A
Authority
CN
China
Prior art keywords
proportional valve
signal
health
entering
given
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CN202011428970.3A
Other languages
Chinese (zh)
Other versions
CN112594114B (en
Inventor
涂勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Yangtze Power Co Ltd
Original Assignee
China Yangtze Power Co Ltd
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
Application filed by China Yangtze Power Co Ltd filed Critical China Yangtze Power Co Ltd
Priority to CN202011428970.3A priority Critical patent/CN112594114B/en
Publication of CN112594114A publication Critical patent/CN112594114A/en
Application granted granted Critical
Publication of CN112594114B publication Critical patent/CN112594114B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03B—MACHINES OR ENGINES FOR LIQUIDS
    • F03B13/00—Adaptations of machines or engines for special use; Combinations of machines or engines with driving or driven apparatus; Power stations or aggregates
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03B—MACHINES OR ENGINES FOR LIQUIDS
    • F03B11/00—Parts or details not provided for in, or of interest apart from, the preceding groups, e.g. wear-protection couplings, between turbine and generator
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03B—MACHINES OR ENGINES FOR LIQUIDS
    • F03B11/00—Parts or details not provided for in, or of interest apart from, the preceding groups, e.g. wear-protection couplings, between turbine and generator
    • F03B11/004—Valve arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03B—MACHINES OR ENGINES FOR LIQUIDS
    • F03B15/00—Controlling
    • F03B15/02—Controlling by varying liquid flow
    • F03B15/04—Controlling by varying liquid flow of turbines
    • F03B15/06—Regulating, i.e. acting automatically
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03B—MACHINES OR ENGINES FOR LIQUIDS
    • F03B3/00—Machines or engines of reaction type; Parts or details peculiar thereto
    • F03B3/16—Stators
    • F03B3/18—Stator blades; Guide conduits or vanes, e.g. adjustable
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/20—Hydro energy

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

A proportional valve health state self-adaptive intelligent diagnosis method and system are suitable for a hydroelectric generating set or other control equipment using a proportional valve as an electro-hydraulic conversion unit, and aim to monitor a given signal and a feedback signal of the proportional valve in real time in the operation process of the equipment, apply the proportional valve health state self-adaptive intelligent diagnosis method, calculate a proportional valve health sign signal in real time by taking the period of proportional valve oscillation current as a period, diagnose the health state of a proportional valve of a hydraulic servo system in real time, and give an alarm in time and send the alarm signal to a monitoring system when the performance of the proportional valve is reduced or a fault trend occurs, so as to remind operation and maintenance personnel of preventive maintenance and replacement. Meanwhile, the method has a criterion self-adapting function, can self-learn to correct the reference value of the proportional valve health sign signal in the criterion condition in real time, and improves the diagnosis accuracy.

Description

Adaptive intelligent diagnosis method and system for health state of proportional valve
Technical Field
The invention relates to the technical field of proportional valve fault diagnosis, in particular to a proportional valve health state self-adaptive intelligent diagnosis method and system.
Background
Proportional valves are widely applied to industrial automation control and are often a crucial key link in a control link. For example, a speed regulating system of a water turbine generator set usually adopts a proportional valve as an electro-hydraulic conversion unit to control the opening degree of a guide vane so as to realize the accurate regulation of the frequency and the work of the generator set. The proportional valve is used as an important element and link for regulating the water turbine, and the importance of the proportional valve is self-evident. The health condition of the proportional valve determines whether the unit and the power grid can safely and stably operate, and important attention should be paid. And at present, no mature adaptive intelligent diagnosis method for the health state of the proportional valve exists.
In the prior art, the first document: chinese patent ZL: 201711213513.0 describes an online fault diagnosis method for a proportional servo valve of a hydraulic governor. Document two: the chinese patent "an instrument type proportional valve controller with fault alarm function" (ZL: 201821194040.4) describes an instrument type proportional valve controller with fault alarm function, which has the following disadvantages:
the technical solution described in the first document has the following disadvantages:
firstly, the method can only diagnose the result that the proportional valve has faults, cannot intelligently diagnose the performance reduction or the fault precursor or trend of the proportional valve, and cannot help operation and maintenance personnel to realize preventive maintenance and overhaul of the proportional valve.
Secondly, the method can only diagnose the conventional faults of the proportional valve, such as broken line, unsmooth movement, stuck valve core and the like, and can not diagnose the control function abnormal faults of the proportional valve, such as small irregular movement of the valve core but not meeting the conventional fault diagnosis criterion, due to the reduction of the control performance.
And thirdly, the proportional valve can only perform qualitative fault alarm and cannot quantitatively indicate the health state level of the proportional valve.
Fourthly, the intelligent level of the fault diagnosis algorithm is not high, and the criterion condition can not be self-learned and self-adaptive according to the actual working condition.
The technical proposal described in the second document has the following disadvantages:
1) the method adopts a simple method for diagnosing the fault state of the proportional valve, simply carries out deviation comparison on a theoretical amplified value of current input by the proportional valve and an amplified actual current value, carries out fault analysis and judgment according to a set deviation rate, is too simple in a data processing algorithm and a logic judgment algorithm, can only diagnose the result that the proportional valve has faults, cannot intelligently diagnose the performance reduction or the fault precursor or trend of the proportional valve, and cannot help operation and maintenance personnel to realize preventive maintenance and overhaul of the proportional valve.
2) And the fault diagnosis algorithm is too simple, and only the theoretical amplification value of the current input by the proportional valve and the amplified actual current value are acquired for deviation comparison. The amplified actual current value and the current input by the proportional valve pass through an amplifier, a physical hysteresis effect exists, the difference value of the amplified actual current value and the amplified current value inevitably exists, particularly, when the current input by the proportional valve has step change, the hysteresis effect of the amplified actual current value is more prominent, the difference value of the amplified actual current value and the amplified actual current value is inevitably larger, and the working condition inevitably influences and interferes with the accuracy of fault diagnosis by adopting the method of comparing the deviation between the theoretical amplified value of the current input by the proportional valve and the amplified actual current value. Under the condition of considering the influence of the working condition, the deviation rate of the manually set criterion is often set to be larger, if the deviation rate is set to be larger, the criterion is too harsh to fail, the fault diagnosis accuracy rate is reduced, and the fault is easy to miss report. If the deviation rate criterion is adjusted to be small, the false alarm rate is increased. Therefore, the simple criterion has low correlation with the fault, and the fault characteristics are not accurately identified, so that the fault cannot be accurately diagnosed.
3) The intelligent level of the fault diagnosis algorithm is not high, and the criterion condition can not be self-learned and self-adapted according to the actual working condition.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for self-adaptive intelligent diagnosis of the health state of a proportional valve, which are suitable for a hydroelectric generating set or other control equipment using the proportional valve as an electro-hydraulic conversion unit and aim to monitor a given signal and a feedback signal of the proportional valve in real time in the running process of the equipment; the method takes the period of the oscillation current of the proportional valve as a diagnosis sampling calculation period, calculates the health sign signal of the proportional valve in real time, diagnoses the health state of the proportional valve of the hydraulic servo system in real time, and gives an alarm in time and sends the alarm signal to a monitoring system when the performance of the proportional valve is reduced or the proportional valve has a fault trend so as to remind operation and maintenance personnel to carry out preventive maintenance and replacement. Meanwhile, the method has a criterion self-adapting function, can self-learn to correct the reference value of the proportional valve health sign signal in the criterion condition in real time, and improves the diagnosis accuracy.
The technical scheme adopted by the invention is as follows:
a health state self-adaptive intelligent diagnosis method for a proportional valve comprises the following steps:
step 1: initializing, wherein n is 1, n is a serial number of a sampling calculation period of the controller, an initial value is given to a change rate standard value k of the proportional valve health sign signal, and entering a step 2;
step 2: the PLC controller of the speed regulator electric control system collects the given signal of the proportional valve in the current period in real time and records the signal as BGiven n(ii) a And the feedback signal of the proportional valve in the current period, which is marked as BnEntering step 3;
and step 3: if the proportional valve of the current period gives a signal BGiven nThe change amplitude is less than 2 times of the change amplitude of the oscillation current, and the step 4 is carried out; otherwise, returning to the step 2 when n is equal to 1.
And 4, step 4: calculating the given signal B of the proportional valve in the current periodGiven nAnd the feedback signal B of the proportional valve in the current periodnDifference Δ Bn＝BGiven n-BnEntering step 5;
and 5: according to the period T of the oscillating current of the proportional valve and the sampling period T of the given and feedback signals of the proportional valveMiningDetermining the number of sampling samples N ═ T/TMiningThen, the process proceeds to step 6.
Step 6: if n is>N-1, calculating Δ B of the last N sampling periodsnMean value of
Figure BDA0002825942290000031
Entering step 7; otherwise, go to step 13;
and 7: calculating proportional valve health signature signal
Figure BDA0002825942290000032
Entering a step 8;
and 8: if N is equal to N, and is greater thanSample valve health sign signal reference value K*Without assigning an initial value, then
Figure BDA0002825942290000033
Figure BDA0002825942290000034
Entering the step 9; otherwise, directly entering the step 9.
And step 9: calculating the change rate K of the proportional valve health sign signal ═ Kn-K*|/K*Entering step 10;
step 10: if K>k, outputting the proportional valve health state alarm, and entering step 11; if K is less than or equal to K, then
Figure BDA0002825942290000035
Entering step 12;
step 11: if the user finds the fault, confirms that the fault is processed and manually operates to reset the alarm information, then the step 12 is carried out; otherwise, returning to the step.
Step 12: n + +, returning to the step 2 and entering the next cycle.
The proportional valve health sign signal refers to: when the external given signal of the proportional valve is constant, the proportional valve responds step by step under the condition of oscillation current input, and the root mean square of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve is subtracted from the average value of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve in an oscillation period.
A proportional valve state of health adaptive diagnostic intelligence system, the system comprising:
the system comprises a human-computer interaction device touch screen, a speed regulator electric control system PLC, an alarm indicator lamp, a proportional valve and a monitoring system;
the human-computer interaction device touch screen performs data interaction with a PLC (programmable logic controller) of a speed regulator electric control system in real time in a communication mode, and manually sets and displays a proportional valve health state criterion coefficient K, a proportional valve health sign signal change rate K, proportional valve health state alarm information and a reset signal in real time;
k is determined by a user according to the analysis result and the empirical value of the proportional valve health sign signal change rate K sample when the proportional valve health state is normal, and the parameter K determines the sensitivity of the health state diagnosis device.
The PLC controller of the speed regulator electric control system outputs a given signal of the proportional valve to the proportional valve in real time, collects a feedback signal of the proportional valve in real time, and outputs a switching value alarm signal to an alarm indicator lamp and a monitoring system;
and (3) executing the steps 1 to 12 of the adaptive intelligent diagnosis method for the health state of the proportional valve by adopting a circulating control logic through a PLC (programmable logic controller) of the speed regulator electronic control system.
The invention discloses a method and a system for adaptively and intelligently diagnosing the health state of a proportional valve, which have the following technical effects:
1): the invention relates to a proportional valve health state self-adaptive intelligent diagnosis method, which selects proportional valve health sign signals as follows: when the external given signal of the proportional valve is constant, the proportional valve responds step by step under the condition of oscillation current input, and the root mean square of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve is subtracted from the average value of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve in an oscillation period. The proportional valve health sign signal eliminates the influence of the hysteresis effect of the actual current value output by position feedback after energy amplification when the current input by the proportional valve is given to change in step, considers the time accumulation effect of the difference value of the proportional valve given signal and the proportional valve feedback signal in the time domain, and can better reflect the health state of the proportional valve. Therefore, the correlation degree of the selected proportional valve health sign signal and the proportional valve health state is higher, and the proportional valve health state can be more scientifically and comprehensively indicated.
2): according to the self-adaptive intelligent diagnosis method for the health state of the proportional valve, the reference value of the health sign signal of the proportional valve in the criterion has a self-adaptive function, self-learning and real-time correction can be performed according to the working condition of the proportional valve, and misjudgment of the health state alarm signal of the proportional valve due to the influence of the external working condition of the operation of the proportional valve is avoided. Therefore, the correlation between the proportional valve health sign signal change rate and the proportional valve health state in the criterion of the proportional valve health state diagnosis method selected by the invention is higher, and the proportional valve health state can be diagnosed more accurately.
3): according to the self-adaptive intelligent diagnosis method for the health state of the proportional valve, the change range of the change rate K of the health sign signal of the proportional valve in the criterion is smaller and more stable, the degree of correlation with the health state of the proportional valve is higher, and the health state of the proportional valve can be diagnosed more accurately.
4): the adaptive intelligent diagnosis method and the criterion for the health state of the proportional valve are more scientific, accurate and reliable, can accurately diagnose the health state of the proportional valve and are not easily influenced by the external working condition of the operation of the proportional valve.
5): according to the self-adaptive intelligent diagnosis method for the health state of the proportional valve, the reference value of the health sign signal of the proportional valve in the criterion has a self-adaptive function, can be self-learned and corrected in real time according to the working condition of the proportional valve, is higher in intelligence level, and avoids the false alarm of the health state alarm signal of the proportional valve caused by the influence of the external working condition of the operation of the proportional valve.
Drawings
FIG. 1 is a flow chart of a method for adaptive intelligent diagnosis of the health status of a proportional valve according to the present invention.
Fig. 2 is a schematic structural diagram of a proportional valve state of health adaptive intelligent diagnostic system of the present invention.
FIG. 3 is a waveform of a proportional valve health status diagnostic control test in an embodiment of the present invention.
FIG. 4 is a waveform diagram of a proportional valve health status diagnostic simulation test in an embodiment of the present invention.
Fig. 5 is a flowchart of a proportional valve health status diagnosis method according to embodiment 2 of the present invention.
Detailed Description
Example 1:
a proportional valve health state adaptive intelligent diagnosis method is shown in a flow chart of fig. 1, and comprises the following steps:
step 1: initializing, wherein n is 1, n is a serial number of a sampling calculation period of the controller, an initial value is given to a change rate standard value k of the proportional valve health sign signal, and entering a step 2;
step 2: the PLC controller 2 of the speed regulator electric control system collects the proportional valve supply of the current period in real timeSet signal, denoted as BGiven n(ii) a And the feedback signal of the proportional valve in the current period, which is marked as BnEntering step 3;
and step 3: if the proportional valve of the current period gives a signal BGiven nThe change amplitude is less than 2 times of the change amplitude of the oscillation current, and the step 4 is carried out; otherwise, returning to the step 2 when n is equal to 1.
And 4, step 4: calculating the given signal B of the proportional valve in the current periodGiven nAnd the feedback signal B of the proportional valve in the current periodnDifference Δ Bn＝BGiven n-BnEntering step 5;
and 5: according to the period T of the oscillating current of the proportional valve and the sampling period T of the given and feedback signals of the proportional valveMiningDetermining the number of sampling samples N ═ T/TMiningThen, the process proceeds to step 6.
Step 6: if n is>N-1, calculating Δ B of the last N sampling periodsnMean value of
Figure BDA0002825942290000051
Entering step 7; otherwise, go to step 13;
and 7: calculating proportional valve health signature signal
Figure BDA0002825942290000052
Entering a step 8;
and 8: if N is equal to N, and the reference value K of the proportional valve health sign signal*Without assigning an initial value, then
Figure BDA0002825942290000053
Figure BDA0002825942290000054
Entering the step 9; otherwise, directly entering the step 9.
And step 9: calculating the change rate K of the proportional valve health sign signal ═ Kn-K*|/K*Entering step 10;
step 10: if K>k, outputting the proportional valve health state alarm, and entering step 11; if K is less than or equal to K, then
Figure BDA0002825942290000055
Entering step 12;
step 11: if the user finds the fault, confirms that the fault is processed and manually operates to reset the alarm information, then the step 12 is carried out; otherwise, returning to the step.
Step 12: n + +, returning to the step 2 and entering the next cycle.
The method for diagnosing the health state of the proportional valve is applied to diagnosis of the health state of the proportional valve of a speed regulating system of a large hydropower station, and the method is described in detail below by combining the embodiment.
A proportional valve state of health adaptive diagnostic intelligence system, the system comprising:
the system comprises a human-computer interaction device touch screen 1, a speed regulator electric control system PLC 2, an alarm indicator lamp 3, a proportional valve 4 and a monitoring system 5;
the human-computer interaction device touch screen 1 carries out data interaction with a PLC (programmable logic controller) 2 of a speed regulator electronic control system in real time in a communication mode, and sets and displays a health state criterion coefficient K of the proportional valve, a health sign signal change rate K of the proportional valve, health state alarm information and a reset signal of the proportional valve manually in real time;
k is determined by a user according to the analysis result and the empirical value of the proportional valve health sign signal change rate K sample when the proportional valve health state is normal, and the parameter K determines the sensitivity of the health state diagnosis device.
The PLC controller 2 of the speed regulator electric control system outputs a proportional valve given signal to the proportional valve 4 in real time, collects a proportional valve feedback signal of the proportional valve 4 in real time, and outputs a switching value alarm signal to the alarm indicator lamp 3 and the monitoring system 5 at the same time;
the PLC controller 2 of the speed regulator electric control system adopts a circulating control logic to execute the steps 1 to 12 of the proportional valve health state self-adaptive intelligent diagnosis method.
The touch screen 1 of the man-machine interaction device adopts a touch screen with a B & R brand model number of 4PP 420.1505-B5.
The PLC controller 2 of the speed regulator electric control system adopts a controller with a B & R brand of PCC005, and the model of a CPU module is 3CP 380.60-1.
The alarm indicator lamp 3 adopts a red indicator lamp with the schneider brand model number XB2-BVB4 LC.
The proportional valve 4 adopts Rexroth brand model number 4WRPEH 10C 3B100L-2X/G24K 0/F1M.
The monitoring system 5 is a monitoring system which is manufactured by a reclaimed water science and technology manufacturer and has the model of H9000.
Example 2:
a method for diagnosing the health status of a proportional valve is shown in a flow chart of fig. 5, and comprises the following specific steps:
1. and initializing, wherein n is 1, n is the serial number of the sampling calculation period of the controller, the index k of the health state of the proportional valve is assigned with an initial value, and the step 2 is entered.
2. Collecting the given signal of the proportional valve in the current period in real time and recording the signal as BGiven nAnd the feedback signal of the proportional valve in the current period is recorded as BnAnd entering the step 3.
3. If B isGiven nThe change amplitude is less than 2 times of the change amplitude of the oscillation current, and the step 4 is entered; otherwise, returning to the step 2 when n is 1.
4. Calculating a proportional valve set signal BGiven nAnd proportional valve feedback signal BnDifference Δ Bn＝BGiven n-BnAnd entering the step 5.
5. According to the period T of the oscillating current of the proportional valve and the sampling period T of the given and feedback signals of the proportional valveMiningDetermining the number of sampling samples N ═ T/TMiningAnd entering the step 6.
6. If n is>N-1, calculating Δ B of the last N sampling periodsnMean value of
Figure BDA0002825942290000061
Entering the step 7; otherwise, step 12 is entered.
7. Calculating proportional valve health signature signal
Figure BDA0002825942290000062
And 8, entering the step 8.
8. If N is equal to N and the proportional valve health sign signal baseNorm value K*Without assigning an initial value, then
Figure BDA0002825942290000063
Entering the step 9; otherwise, directly entering the step 9.
9. Calculating the change rate K of the proportional valve health sign signal ═ Kn-K*|/K*And entering the step 10.
10. If K is larger than K, keeping 5 sampling periods, outputting an alarm of the health state of the proportional valve, and entering the step 11; otherwise, step 12 is entered.
11. If the artificial fault is recovered, the step 12 is entered; otherwise, returning to the step.
12. n + +, returning to the step 2 and entering the next cycle.
The structural schematic diagram of the proportional valve health state diagnosis system is shown in fig. 2 after the proportional valve health state diagnosis function is realized by adopting the proportional valve health state diagnosis method of the invention in a certain large hydropower station speed regulator electronic control system.
A proportional valve state of health diagnostic system, the system comprising:
the system comprises a human-computer interaction device touch screen 1, a speed regulator electric control system PLC 2, an alarm indicator lamp 3, a proportional valve 4 and a monitoring system 5;
the human-computer interaction device touch screen 1 carries out data interaction with a PLC (programmable logic controller) 2 of a speed regulator electronic control system in real time in a communication mode, and sets and displays a health state criterion coefficient K of the proportional valve, a health sign signal change rate K of the proportional valve, health state alarm information and a reset signal of the proportional valve manually in real time;
k is determined by a user according to the analysis result and the empirical value of the proportional valve health sign signal change rate K sample when the proportional valve health state is normal, and the parameter K determines the sensitivity of the health state diagnosis device.
The PLC controller 2 of the speed regulator electric control system outputs a proportional valve given signal to the proportional valve 4 in real time, collects a proportional valve feedback signal of the proportional valve 4 in real time, and outputs a switching value alarm signal to the alarm indicator lamp 3 and the monitoring system 5 at the same time;
the PLC controller 2 of the speed regulator electric control system adopts a circulating control logic to execute the 1 st step to the 12 th step of the proportional valve health state diagnosis method.
The touch screen 1 of the man-machine interaction device adopts a touch screen with a B & R brand model number of 4PP 420.1505-B5.
The PLC controller 2 of the speed regulator electric control system adopts a controller with a B & R brand of PCC005, and the model of a CPU module is 3CP 380.60-1.
The alarm indicator lamp 3 adopts a red indicator lamp with the schneider brand model number XB2-BVB4 LC.
The proportional valve 4 adopts Rexroth brand model number 4WRPEH 10C 3B100L-2X/G24K 0/F1M.
The monitoring system 5 is a monitoring system which is manufactured by a reclaimed water science and technology manufacturer and has the model of H9000.
An electronic control system of a speed regulator of a large hydropower station adopts the proportional valve health state self-adaptive intelligent diagnosis method in embodiment 1 and the proportional valve health state diagnosis method in embodiment 2 of the invention to carry out a proportional valve health state diagnosis contrast test. In the test, k is set as 100, the test records are shown in table 1, and the test recording curve is shown in fig. 3. In the test, N was 23.
As is apparent from table 1 and fig. 3, when the proportional valve health status adaptive intelligent diagnosis method according to embodiment 1 of the present invention is used, the change rate K of the proportional valve health indicator signal in the criterion algorithm is smaller and more stable in the change range, and has a higher degree of correlation with the proportional valve health status, compared with the proportional valve health indicator signal change rate K in the criterion algorithm, which is used in the proportional valve health status diagnosis method according to embodiment 2, and the proportional valve health status can be diagnosed more accurately.
The speed regulator electronic control system of a large hydropower station adopts the proportional valve health state self-adaptive intelligent diagnosis method of embodiment 1 of the invention to carry out the proportional valve health state diagnosis simulation test. K is set to be 100 during the test, 68 th period begins to simulate the performance reduction of the proportional valve, the test records are shown in table 2, and the test recording curve is shown in fig. 4. In the test, N was 23. If k is set to 15, a proportional valve health status alarm signal is reported in the 78 th cycle, and the proportional valve health status can be accurately diagnosed.
TABLE 1 diagnosis and comparison test table for health status of proportional valve
Figure BDA0002825942290000081
Figure BDA0002825942290000091
Figure BDA0002825942290000101
Figure BDA0002825942290000102
Figure BDA0002825942290000111
Figure BDA0002825942290000121

Claims (3)

1. A method for adaptively and intelligently diagnosing the health state of a proportional valve is characterized by comprising the following steps of:
step 1: initializing, wherein n is 1, n is a serial number of a sampling calculation period of the controller, an initial value is given to a change rate standard value k of the proportional valve health sign signal, and entering a step 2;
step 2: the PLC controller (2) of the speed regulator electric control system collects the given signal of the proportional valve in the current period in real time and records the signal as BGiven n(ii) a And the feedback signal of the proportional valve in the current period, which is marked as BnEntering step 3;
and step 3: if the proportional valve of the current period gives a signal BGiven nThe change amplitude is less than 2 times of the change amplitude of the oscillation current, and the step 4 is carried out; otherwise, if n is 1, returning to the step 2;
and 4, step 4:calculating the given signal B of the proportional valve in the current periodGiven nAnd the feedback signal B of the proportional valve in the current periodnDifference Δ Bn＝BGiven n-BnEntering step 5;
and 5: according to the period T of the oscillating current of the proportional valve and the sampling period T of the given and feedback signals of the proportional valveMiningDetermining the number of sampling samples N ═ T/TMiningEntering step 6;
step 6: if N > N-1, calculating Δ B for the last N sampling periodsnMean value of
Figure FDA0002825942280000011
Entering step 7; otherwise, go to step 13;
and 7: calculating proportional valve health signature signal
Figure FDA0002825942280000012
Entering a step 8;
and 8: if N is equal to N, and the reference value K of the proportional valve health sign signal*Without assigning an initial value, then
Figure FDA0002825942280000013
Figure FDA0002825942280000014
Entering the step 9; otherwise, directly entering the step 9;
and step 9: calculating the change rate K of the proportional valve health sign signal ═ Kn-K*|/K*Entering step 10;
step 10: if K is larger than K, outputting a proportional valve health state alarm, and entering step 11; if K is less than or equal to K, then
Figure FDA0002825942280000015
Entering step 12;
step 11: if the user finds the fault, confirms that the fault is processed and manually operates to reset the alarm information, then the step 12 is carried out;
otherwise, returning to the step;
step 12: n + +, returning to the step 2 and entering the next cycle.
2. The adaptive intelligent diagnostic method for the health state of the proportional valve according to claim 1, characterized in that: the proportional valve health sign signal refers to: when the external given signal of the proportional valve is constant, the proportional valve responds step by step under the condition of oscillation current input, and the root mean square of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve is subtracted from the average value of the difference value of the given signal of the proportional valve and the feedback signal of the proportional valve in an oscillation period.
3. A proportional valve state of health adaptive intelligent diagnostic system characterized in that the system includes:
the system comprises a human-computer interaction device touch screen (1), a speed regulator electric control system PLC (programmable logic controller) (2), an alarm indicator lamp (3), a proportional valve (4) and a monitoring system (5);
the human-computer interaction device touch screen (1) carries out data interaction with a PLC (programmable logic controller) of a speed regulator electric control system in real time in a communication mode, and manually sets and displays a proportional valve health state criterion coefficient K, a proportional valve health sign signal change rate K, proportional valve health state alarm information and a reset signal in real time;
the PLC controller (2) of the speed regulator electric control system outputs a proportional valve given signal to the proportional valve (4) in real time, collects a proportional valve feedback signal of the proportional valve (4) in real time, and outputs a switching value alarm signal to the alarm indicator lamp (3) and the monitoring system (5);
the PLC controller (2) of the speed regulator electric control system adopts a circulating control logic to execute the steps 1-12 of claim 1.
CN202011428970.3A 2020-12-09 2020-12-09 Adaptive intelligent diagnosis method and system for health state of proportional valve Active CN112594114B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011428970.3A CN112594114B (en) 2020-12-09 2020-12-09 Adaptive intelligent diagnosis method and system for health state of proportional valve

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011428970.3A CN112594114B (en) 2020-12-09 2020-12-09 Adaptive intelligent diagnosis method and system for health state of proportional valve

Publications (2)

Publication Number Publication Date
CN112594114A true CN112594114A (en) 2021-04-02
CN112594114B CN112594114B (en) 2022-02-08

Family

ID=75191683

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011428970.3A Active CN112594114B (en) 2020-12-09 2020-12-09 Adaptive intelligent diagnosis method and system for health state of proportional valve

Country Status (1)

Country Link
CN (1) CN112594114B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005032008A (en) * 2003-07-14 2005-02-03 Toshiba Corp Operation control device
CN104791187A (en) * 2015-04-08 2015-07-22 武汉四创自动控制技术有限责任公司 Water-turbine adjustment system and method capable of forecasting health status
CN107939577A (en) * 2017-11-28 2018-04-20 南瑞集团有限公司 A kind of hydrogovernor proportional servo valve on-line fault diagnosis method
CN108227676A (en) * 2017-12-28 2018-06-29 浙江工业大学 The online fault detect of valve-controlled cylinder electrohydraulic servo system, estimation and localization method
CN108468616A (en) * 2018-02-05 2018-08-31 中国长江电力股份有限公司 Position method of adjustment in a kind of governor proportioning valve based on Hydrawlic Slave System static balancing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005032008A (en) * 2003-07-14 2005-02-03 Toshiba Corp Operation control device
CN104791187A (en) * 2015-04-08 2015-07-22 武汉四创自动控制技术有限责任公司 Water-turbine adjustment system and method capable of forecasting health status
CN107939577A (en) * 2017-11-28 2018-04-20 南瑞集团有限公司 A kind of hydrogovernor proportional servo valve on-line fault diagnosis method
CN108227676A (en) * 2017-12-28 2018-06-29 浙江工业大学 The online fault detect of valve-controlled cylinder electrohydraulic servo system, estimation and localization method
CN108468616A (en) * 2018-02-05 2018-08-31 中国长江电力股份有限公司 Position method of adjustment in a kind of governor proportioning valve based on Hydrawlic Slave System static balancing

Also Published As

Publication number Publication date
CN112594114B (en) 2022-02-08

Similar Documents

Publication Publication Date Title
CN109917205B (en) Electromagnetic valve fault diagnosis device and method based on feature extraction and multilayer perceptron
CN110617209B (en) Online monitoring and diagnosing method and system for pump station unit
CN111275288A (en) XGboost-based multi-dimensional data anomaly detection method and device
CN116320832B (en) Monitoring equipment fault monitoring method and device
CN110008565A (en) A kind of industrial process unusual service condition prediction technique based on operating parameter association analysis
CN105116873B (en) A kind of more automatic adjustment circuit evaluation diagnostic methods of thermal power plant
CN104390657A (en) Generator set operating parameter measuring sensor fault diagnosis method and system
CN103970124B (en) The online test method of process control loops multicycle vibration
CN103925155A (en) Self-adaptive detection method for abnormal wind turbine output power
CN115327990A (en) AI-based electrical equipment state monitoring and early warning model and method thereof
CN114757380A (en) Thermal power plant fault early warning system and method, electronic equipment and storage medium
CN108919783A (en) A kind of driving mechanism trouble-shooter and method
CN117111446B (en) Fuzzy PID control optimization method for magnetic suspension flywheel motor
CN112594114B (en) Adaptive intelligent diagnosis method and system for health state of proportional valve
CN114962239A (en) Equipment fault detection method based on intelligent Internet of things
CN116796261B (en) Closed switch equipment mechanical characteristic prediction method based on artificial intelligence
CN113847306B (en) Health state diagnosis control system of hydraulic servo system of hydropower station speed regulator
CN112561283B (en) Method for diagnosing health state of proportional valve of hydropower station speed regulator and control system
CN116973093A (en) Online monitoring and diagnosing system and method for pneumatic regulating valve
Miljković Fault detection using limit checking: A brief introductory review
Horch Oscillation Diagnosis in Control Loops~ Stiction and other Causes
CN110516323A (en) A kind of pressure pipeline damage forecast method based on Time-Series analysis
CN107144250B (en) The method and device of on-line measurement reciprocating machine transmission chain gap value
CN111986469A (en) Intelligent diagnosis method for field terminal fault
CN111913463A (en) State monitoring method for chemical volume control system of nuclear power plant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant