CN110235010B - State analysis device, display method, and storage medium - Google Patents
State analysis device, display method, and storage medium Download PDFInfo
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- CN110235010B CN110235010B CN201880009002.3A CN201880009002A CN110235010B CN 110235010 B CN110235010 B CN 110235010B CN 201880009002 A CN201880009002 A CN 201880009002A CN 110235010 B CN110235010 B CN 110235010B
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- G—PHYSICS
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R15/00—Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
- G01R15/14—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks
- G01R15/18—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks using inductive devices, e.g. transformers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
- G01R19/2506—Arrangements for conditioning or analysing measured signals, e.g. for indicating peak values ; Details concerning sampling, digitizing or waveform capturing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
- G01R19/252—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques using analogue/digital converters of the type with conversion of voltage or current into frequency and measuring of this frequency
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B23/02—Electric testing or monitoring
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Abstract
A state analysis device (10) is provided with: a current acquisition unit (11) that acquires a current signal flowing through the target device (30); a parameter calculation unit (12) that calculates values of a plurality of parameters that have a correlation with each other and that vary according to the state of the target device, based on the current signal, at timings associated with a fixed period; and a display information generation unit (17) that generates display information for a 1 st graph representing values of the plurality of parameters relating to one timing and a 2 nd graph representing a variation amount of the plurality of parameters calculated at a different timing, at division lines where predetermined threshold values representing criteria for determining a state of the target device are arranged in a coordinate space having each of the plurality of parameters as an axis.
Description
Technical Field
The invention relates to a state analysis device, a display method, and a program.
The present application claims priority to Japanese application No. 2017-019899 applied in 2017 at 06.02/month, the contents of which are incorporated herein by reference.
Background
In a power plant or other equipment, a current is clamped at a predetermined position of the equipment to monitor the operating state of the equipment, and a current signal is measured. In this case, the monitoring device generates a frequency domain graph of the current by performing fast fourier transform on the measured current signal, and displays the graph on a screen (see, for example, patent document 1). Then, the examiner observes the displayed frequency domain graph to detect and identify an abnormality of the device. Specifically, the examiner determines a parameter characterizing a given action of the apparatus from the observation of the frequency domain graph, and determines the state of the action associated with the parameter.
Documents of the prior art
Patent document
Patent document 1: JP 5828948A
Disclosure of Invention
Problems to be solved by the invention
However, the reading of the frequency domain graph requires skill, and it is difficult for a person who is not skilled to recognize the state of the device from the frequency domain graph. The frequency domain graph represents the instantaneous state of the device, but how the state changes from the past does not appear in the frequency domain graph. For this reason, it is difficult to predict the state change of the device only from the observation of the frequency domain graph. Furthermore, although the state of the operation associated with the parameter can be specified based on the parameter specified from the frequency domain graph, it is difficult to specify the state not associated with the individual parameter.
An object of the present invention is to provide a state analysis device, a display method, and a program that can easily recognize the state and the change in the state of a target device.
Means for solving the problems
According to the 1 st aspect of the present invention, a state analysis device includes: a current acquisition unit that acquires a current signal flowing through the target device; a parameter calculation unit that calculates values of a plurality of parameters that vary according to a state of the target device and that have a correlation with each other, based on the current signal at a timing corresponding to a fixed period; and a display information generating unit that generates display information including a division line in which a predetermined threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having the plurality of parameters as axes, a 1 st graph indicating a value of the plurality of parameters related to one timing, and a 2 nd graph indicating a variation amount of the plurality of parameters calculated at different timings.
According to the 2 nd aspect of the present invention, in the state analysis device according to the 1 st aspect, the display information generation unit may generate the display information including a predetermined message when at least 1 value of the plurality of parameters relating to different timings crosses the threshold.
According to the 3 rd aspect of the present invention, in the state analysis device according to the 1 st aspect, the display information generation unit may change the display form of the 1 st graph between a case where at least 1 value of the plurality of parameters relating to different timings crosses the threshold and a case where the at least 1 value does not cross the threshold.
According to the 4 th aspect of the present invention, in the state analysis device according to any one of the 1 st to 3 rd aspects, the state of the target device may include a normal state in which the target device is normal, an abnormal state in which the target device is abnormal, and an attention state which is a state in which the state of the target device may transition to the abnormal state, and the display information generation unit may generate the display information including a 1 st division line which divides the normal state and the attention state, and a 2 nd division line which divides the attention state and the abnormal state as the division line.
According to the 5 th aspect of the present invention, in the state analysis device according to any one of the 1 st to 4 th aspects, the target device is a device including a motor that rotates with a rotor and an attachment that rotates together with the rotor, and the plurality of parameters are selected from the group consisting of a parameter that represents a state of the entire target device, a parameter that represents a state of the rotor, a parameter that represents a state in which axes of the rotor and the attachment are not aligned, a parameter that represents an effective value of a current flowing through the motor, a parameter that represents a quality of a power source related to the current, and a parameter that represents a state of the attachment.
According to the aspect 6 of the present invention, a display method includes: acquiring a current signal flowing through a target device; calculating values of a plurality of parameters that vary according to a state of the target device and have a correlation with each other, based on the current signal at a timing related to a fixed period; calculating a variation amount of the values of the plurality of parameters calculated at different timings; and display information that displays a division line in which a threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having the plurality of parameters as axes, a 1 st graph indicating values of the plurality of parameters at one timing, and a 2 nd graph indicating the amount of change.
According to the 7 th aspect of the present invention, the program causes a computer to execute the following processing: acquiring a current signal flowing through a target device; calculating values of a plurality of parameters that vary according to a state of the target device and have a correlation with each other, based on the current signal at a timing related to a fixed period; calculating a variation amount of the values of the plurality of parameters calculated at different timings; display information is generated on a partition line in which a threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having the plurality of parameters as axes, on a 1 st graph indicating values of the plurality of parameters at one timing, and on a 2 nd graph indicating the amount of change.
Effects of the invention
According to at least 1 of the above aspects, the state analyzing device calculates a parameter from the current signal, and generates display information that displays the parameter together with a dividing line that represents a threshold value. Thus, the state of the target device can be specified based on the displayed information without requiring skill. The state analysis device also generates display information for displaying a graph representing the variation of the parameter. This makes it possible to recognize the transition of the state of the target device based on the displayed information. The state analysis device arranges a graph representing the parameters in a coordinate space having a plurality of parameters having a correlation with each other as an axis. Thus, by the bias of the visual recognition parameter or the variation amount of the parameter, it is possible to specify a state not associated with the individual parameter.
Drawings
Fig. 1 is a schematic diagram showing a configuration of a state analysis system according to embodiment 1.
Fig. 2 is a schematic block diagram showing the configuration of a state analysis device according to embodiment 1.
Fig. 3 is a diagram showing an example of information stored in the parameter storage unit according to embodiment 1.
Fig. 4 is a diagram showing an example of information stored in the threshold value storage unit according to embodiment 1.
Fig. 5 is a flowchart showing a current parameter calculation process of the state analysis device according to embodiment 1.
Fig. 6 is a flowchart showing a current parameter display process of the state analyzing apparatus according to embodiment 1.
Fig. 7 is a diagram showing an example of a graph showing the relationship of KI parameters to Lpole parameters.
Fig. 8 is a diagram showing an example of a graph showing a relationship between an IHD parameter and a THD parameter.
Fig. 9 is a diagram showing an example of a graph showing the relationship of the Lpole parameter and the Lshaft parameter.
Fig. 10 is a schematic block diagram showing a configuration of a computer according to at least 1 embodiment.
Detailed Description
Fig. 1 is a schematic diagram showing a configuration of a state analysis system according to embodiment 1.
The state analysis system 1 according to embodiment 1 includes a state analysis device 10, a display device 20, a target device 30, a three-phase ac power supply 40, a power line 50, and a clamp ammeter 60.
The state analysis device 10 according to embodiment 1 causes the display device 20 to display information indicating the state of the target device 30 to be inspected. The target device 30 according to embodiment 1 is a rotary machine system including an electric motor driven by a three-phase ac power supply and accessories such as a pump and a fan that rotate together with a rotor of the electric motor. The target device 30 is connected to a three-phase ac power supply 40 via a power line 50. Power line 50 is sandwiched by clamp ammeter 60. The state analysis system 1 includes 3 clamp ammeters 60, and different power lines are sandwiched between the clamp ammeters 60. In another embodiment, the state analysis system 1 may include 1 or 2 clamp ammeters 60, and may not measure the current of a part of the 3 power lines 50. The clamp ammeter 60 measures the magnitude of the current flowing through the power line 50, and outputs the measured value to the state analysis device 10 as a digital signal (current signal). The state analysis device 10 displays information representing the state of the target device 30 on the display device 20 based on the current signal received from the clamp ammeter 60.
Fig. 2 is a schematic block diagram showing the configuration of a state analysis device according to embodiment 1.
The state analysis device 10 includes a current acquisition unit 11, a parameter calculation unit 12, a parameter storage unit 13, a threshold storage unit 14, a graph generation unit 15, a transition detection unit 16, and a display control unit 17.
The current acquisition unit 11 acquires a current signal flowing from the clamp ammeter 60 to the target device 30 via the power line 50.
The parameter calculation unit 12 calculates values of a plurality of parameters that vary according to the state of the target device 30, based on the current signal acquired by the current acquisition unit 11, at timings related to a constant period. The parameter calculated by the parameter calculation unit 12 is hereinafter referred to as a current parameter. Examples of specific current parameters are described below. At least 2 of the plurality of current parameters calculated by the parameter calculation unit 12 are parameters having a correlation with each other.
The parameter storage unit 13 stores the value of the current parameter calculated by the parameter calculation unit 12 in association with the calculation time.
The threshold value storage unit 14 stores a threshold value serving as a criterion for determining the state of the target device 30 for each current parameter. The types of the state of the target device 30 according to embodiment 1 are a normal state in which the target device 30 is normal, an abnormal state in which the target device 30 is abnormal, and an attention state in which the state of the target device 30 transits to the abnormal state. That is, the threshold value storage unit 14 stores, for each current parameter, a 1 st threshold value for distinguishing the normal state from the attentive state, and a 2 nd threshold value for distinguishing the attentive state from the abnormal state.
The graph generating unit 15 generates a graph image representing the value of the current parameter calculated by the parameter calculating unit 12 and the amount of change from the previous value of the current parameter to the current value of the current parameter. The graph image is a graph in which 2 current parameters having a correlation with each other are taken on the vertical axis and the horizontal axis. In the graph image, a dividing line representing a threshold value related to each current parameter, a plot (graph 1) representing values of 2 current parameters, and an arrow (graph 2) representing a variation amount are arranged.
The transition detection unit 16 detects that the value of each current parameter changes across the threshold stored in the threshold storage unit 14.
The display control unit 17 generates display information to be output to the display device 20 based on the graph screen generated by the graph generating unit and the detection result of the transition detecting unit 16. The display control unit 17 is an example of a display information generating unit.
The current parameter calculated by the parameter calculation unit 12 according to embodiment 1 will be described.
The parameter calculation unit 12 according to embodiment 1 calculates KI parameters, Lpole parameters, lsraft parameters, Irms parameters, THD parameters, IHD parameters, Lx parameters, and Iub parameters.
The KI parameter is a parameter that characterizes the overall state of the object device 30. The KI parameter is Kullback-Leibler information amount for an inspection amplitude probability density function ft (x) obtained from the current signal and a reference amplitude probability density variable fr (x) of a reference sine wave signal waveform indicating a rated current of the motor. Specifically, the KI parameter is obtained by the following equation (1).
[ mathematical formula 1]
The Lpole parameter is a parameter that characterizes the state of the rotor of the target device 30. The Lpole parameter is the magnitude of a peak of a sideband wave of the current spectrum at a frequency position away from a given frequency amount with the peak of the current spectrum as the center, among the frequency spectrum obtained by frequency-domain transforming the current signal. The Lpole parameter relates to sideband waves that vary due to the pole pass frequency of the motor.
The lssaft parameter is a parameter indicating a state in which the axes of the rotor and the attachment of the object device 30 are not coincident. The lshift parameter is obtained from the magnitude of the peak of the sideband wave of the current spectrum at a frequency position away from the peak of the current spectrum by a predetermined frequency amount with the peak of the current spectrum as the center, among the frequency spectrum obtained by frequency-domain converting the current signal. The sideband waves to which the lsraft parameters relate are sideband waves that vary due to the actual rotational frequency of the motor.
The Irms parameter is a parameter for monitoring the load on the rotating machine and the state change of the target device 30. The Irms parameter is a current effective value obtained by dividing the square sum of the current values at each sampling timing by the number of sampling timings to obtain the square root thereof.
The IHD parameter is the ratio of the maximum harmonic component of the current signal to the supply frequency component. The IHD parameter can be obtained by extracting a harmonic component from the current signal, dividing a maximum value located within a predetermined order of the harmonic component by an effective value of the power supply frequency.
The THD parameter is the ratio of the full harmonic component of the current signal to the supply frequency component. The THD parameter can be obtained by extracting harmonic components from the current signal, and dividing the harmonic components by the square of the sum of squares of the harmonic components within a predetermined order by the effective value of the power supply frequency of the current signal. The IHD parameter and the THD parameter are parameters that characterize the quality of the three-phase ac power supply 40.
The Lx parameter is a parameter that characterizes the state of the accessory of the object apparatus 30. The Lx parameter is the magnitude of a peak of a sideband wave of the current spectrum at a frequency position away from a given frequency amount with the peak of the current spectrum as the center, among the frequency spectrum obtained by frequency-domain transforming the current signal. The sideband waves involved in the Lx parameter are sideband waves that fluctuate due to: a sideband wave that fluctuates due to the blade passing frequency of the pump or blower, a sideband wave that fluctuates due to the meshing frequency of the gear device, a sideband wave that fluctuates due to the rotational frequency of the drive belt, or a sideband wave that fluctuates due to the slip frequency of the rotor bars.
The Lx parameter represented by the magnitude of the peak of the sideband wave that varies depending on the passing frequency of the vanes of the pump or blower is referred to as the Lbp parameter. The Lx parameter represented by the magnitude of the peak of the sideband wave that varies depending on the meshing frequency of the gear device is referred to as the Lgz parameter. The Lx parameter represented by the magnitude of the peak of the sideband wave that fluctuates depending on the rotational frequency of the transmission belt is referred to as the Lbr parameter. The Lx parameter represented by the magnitude of the peak of the sideband wave that varies depending on the slip frequency of the rotor bar and any 1 of the sideband waves that vary is referred to as the Lrs parameter. Pumps, blowers, gear devices, belts, rotor bars are examples of accessories for the subject device 30.
The Iub parameter is a parameter representing the quality of a power supply or the deterioration conditions of a stator and an inverter of a motor. The Iub parameter can be obtained by dividing the difference between the maximum value and the minimum value in the current effective values of the 3-phase current signals by the sum of the maximum value and the minimum value. That is, the Iub parameter is a parameter indicating the three-phase current balance of the current signal.
The KI parameter is increased when the state of the rotor is deteriorated, and the Lpole parameter is decreased when the state of the rotor is deteriorated. That is, the KI parameter and the Lpole parameter have a correlation with respect to the state of the rotor of the object device 30.
The KI parameter is increased if the state of the unbalance of the shafting of the motor becomes worse, and the lsraft parameter and the various Lx parameters are decreased if the state of the unbalance of the shafting of the motor becomes worse. That is, the KI parameter, the lsraft parameter, and the various Lx parameters have a correlation with respect to the unbalance state of the shafting of the motor of the object device 30. The KI parameter is increased when the axis of the shafting of the motor is misaligned, and the lsraft parameter is decreased when the axis of the shafting of the motor is misaligned. That is, the KI parameter and the lsraft parameter have a correlation with each other in a state where axes of shafting of the motor of the object device 30 do not coincide with each other.
Both the KI parameter and the Irms parameter increase when the state of the load fluctuation becomes worse. That is, the KI parameter and the Irms parameter have a correlation with respect to the state of load variation of the object device 30.
The KI parameter, the THD parameter, the IHD parameter, and the Iub parameter are all increased if the state of the stator of the motor or the power quality is deteriorated. That is, the KI parameter, the THD parameter, the IHD parameter, and the Iub parameter have a correlation with respect to the state of the stator of the object device 30 or the quality of the power supply.
Both the Lpole parameter and the lshift parameter are reduced if the state of the motor becomes worse. That is, both the Lpole parameter and the lsraft parameter have a correlation with respect to the state of the rotor of the target device 30.
Fig. 3 is a diagram showing an example of information stored in the parameter storage unit according to embodiment 1. As shown in fig. 3, the parameter storage unit 13 stores the measurement time, KI parameter, Lpole parameter, lsraft parameter, Irms parameter, THD parameter, IHD parameter, Lx parameter, and Iub parameter in association with each other at the measurement time, which is the timing of each predetermined period (for example, every half day or every 1 day).
Fig. 4 is a diagram showing an example of information stored in the threshold value storage unit according to embodiment 1.
As shown in fig. 4, the threshold value storage unit 14 stores ranges of values in the normal state, ranges of values in the attention state, and ranges of values in the abnormal state, for the KI parameter, the Lpole parameter, the lsraft parameter, the Irms parameter, the THD parameter, the IHD parameter, the Lx parameter, and the Iub parameter, respectively. Here, the threshold divided into the range of values in the normal state and the range of values in the attention state is the 1 st threshold, and the threshold divided into the range of values in the attention state and the range of values in the abnormal state is the 2 nd threshold. That is, the range storing the value in the normal state, the range storing the value in the attention state, and the range storing the value in the abnormal state are equivalent to the 1 st threshold value and the 2 nd threshold value.
In embodiment 1, the range of values in the normal state, the range of values in the attention state, and the range of values in the abnormal state of the current parameter are as follows. The following ranges are merely examples, and the other embodiments are not limited thereto.
The range of the value of the KI parameter in the normal state is less than 1.0. The range of the value of the KI parameter in the attentive state is 1.0 or more and less than 1.5. The range of the value of the KI parameter in the abnormal state is 1.5 or more. That is, the 1 st threshold value related to the KI parameter is 1.0, and the 2 nd threshold value related to the KI parameter is 1.5.
The range of the value of the Lpole parameter that becomes the normal state exceeds 50 dB. The range of the value of the Lpole parameter that becomes the attention state exceeds 40dB and is 50dB or less. The range of the value of the Lpole parameter that becomes an abnormal state is 40dB or less. That is, the 1 st threshold related to the Lpole parameter is 50dB, and the 2 nd threshold related to the Lpole parameter is 40 dB.
The range of values of the lssaft parameter that becomes normal exceeds 50 dB. The range of the value of the lssaft parameter that becomes the attention state exceeds 40dB and is 50dB or less. The range of the lssaft parameter value in the abnormal state is 40dB or less. That is, the 1 st threshold value involved in the lssaft parameter is 50dB, and the 2 nd threshold value involved in the lssaft parameter is 40 dB.
The range of the value of the Irms parameter in the normal state is less than ± 10%. The range of the value of the Irms parameter in the attentive state is within ± 10% or more and less than ± 20% of fluctuation. The range of the value of the Irms parameter in the abnormal state is within ± 20% or more of variation. That is, the 1 st threshold value for the Irms parameter varies by ± 10%, and the 2 nd threshold value for the Irms parameter varies by ± 20%.
The range of the value of the THD parameter in the normal state is less than 5%. The range of the value of the THD parameter that becomes the attention state is 5% or more and less than 10%. The range of the value of the THD parameter in the abnormal state is 10% or more. That is, the 1 st threshold value relating to the THD parameter is 5%, and the 2 nd threshold value relating to the THD parameter is 10%.
The range of the value of the IHD parameter in the normal state is less than 3%. The range of the value of the IHD parameter that becomes the attention state is 3% or more and less than 5%. The range of the value of the IHD parameter in the abnormal state is 5% or more. That is, the 1 st threshold value of the IHD parameter is 3%, and the 2 nd threshold value of the IHD parameter is 5%.
The range of the value of the Lx parameter to be in the normal state exceeds 50 dB. The range of the value of the Lx parameter that becomes the attention state exceeds 40dB and is 50dB or less. The range of the value of the Lx parameter in the abnormal state is 40dB or less. That is, the 1 st threshold value related to the Lx parameter is 50dB, and the 2 nd threshold value related to the Lx parameter is 40 dB.
The range of the Iub parameter value in the normal state is less than 3%. The range of the Iub parameter value in the attentive state is 3% or more and less than 5%. The range of the Iub parameter value in the abnormal state is 5% or more. That is, the 1 st threshold value relating to the Iub parameter is 3%, and the 2 nd threshold value relating to the Iub parameter is 5%.
Here, the operation of the state analyzing apparatus 10 according to embodiment 1 will be described.
Fig. 5 is a flowchart showing a current parameter calculation process of the state analysis device according to embodiment 1.
The state analysis device 10 executes the current parameter calculation process at a timing corresponding to each fixed cycle. The current acquisition unit 11 of the state analyzer 10 acquires a current signal from the clamp ammeter 60 (step S1). Further, the current acquisition unit 11 acquires a current signal at each sampling timing, and the current signal acquired by the current acquisition unit 11 indicates a change in the magnitude of the current for a certain period of time. Next, the parameter calculation unit 12 frequency-domain converts the current signal to generate a frequency-domain waveform (step S2). FFT can be given as a method of frequency domain conversion.
The parameter calculation unit 12 calculates a current parameter based on the current signal acquired in step S1 and the frequency domain waveform generated in step S2 (step S3). The parameter calculation unit 12 associates the calculated current parameter with the current time and records the current parameter in the parameter storage unit 13 (step S4).
The state analysis device 10 can record the time series of the current parameters in the parameter storage unit 13 by executing the current parameter calculation process described above at the timing of each constant cycle.
Fig. 6 is a flowchart showing a current parameter display process of the state analyzing apparatus according to embodiment 1.
When the display instruction of the current parameter is given by the user' S operation, the state analysis device 10 receives the input of the set of current parameters to be displayed (step S11). The set of current parameters is input by receiving a user selection from a list of preset pairs of parameters having a correlation with each other (e.g., lssaft parameter to Lpole parameter pair, THD parameter to IHD parameter pair, KI parameter to Lx parameter pair) in the state analysis device 10. In other embodiments, the input of the set of current parameters can also be performed by the user inputting any 2 parameters.
Next, the graph generating unit 15 of the state analyzing device 10 draws a coordinate space in which each current parameter related to the selected pair is defined as the axis G1 (step S12). That is, the graph generating unit 15 draws the orthogonal axis G1 representing the pair of current parameters. In the present embodiment, "drawing" refers to arranging a pattern on a virtual space (virtual plane). Next, the graph generating unit 15 reads out the 1 st threshold and the 2 nd threshold associated with each current parameter of the selected pair from the threshold storage unit 14, and draws the division line G2 (1 st division line) indicating the 1 st threshold and the division line G2 (2 nd division line) indicating the 2 nd threshold (step S13). The discrimination line G2 characterizing the threshold values to which a current parameter relates is a line parallel to the axis G1 characterizing the one current parameter. Next, the graph generating unit 15 draws a plot G3 representing the last recorded value (changed value) of the values of the respective current parameters selected from the parameter storage unit 13 on the coordinate space (step S14).
Next, the graph generating unit 15 plots, on the coordinate space, an arrow G4 extending from the coordinate representing the value recorded at the 2 nd from the last of the values of the respective current parameters (the value before the change) selected from the parameter storage unit 13 to the coordinate representing the value after the change (step S15). In this case, the difference between the measurement time associated with the value before the change and the measurement time associated with the value after the change is equal to the time of the fixed period. The arrow G4 is longer as the difference between the value before the change and the value after the change is larger. That is, the arrow G4 is longer as the amount of change in the current parameter is larger.
Next, the transition detection unit 16 determines whether or not at least 1 value of the selected pair of the current parameters changes across the 1 st threshold or the 2 nd threshold based on the 1 st threshold and the 2 nd threshold stored in the threshold storage unit 14 (step S16). When the value of the current parameter changes across the 1 st threshold or the 2 nd threshold (yes in step S16), the graph generation unit 15 draws a predetermined message (for example, "the state of the target device 30 changes to the attention state" or the like) (step S17). Further, the message is continuously displayed from the timing at which the value of the current parameter crosses the threshold until a given time elapses. In addition, in other embodiments, a given message may be depicted only if the value of the current parameter crosses the 1 st or 2 nd threshold, changing state in the direction of degradation. In other embodiments, instead of drawing a predetermined message, the display form of the drawing G3 may be different. Examples of the display form of the drawing G3 include the color of the drawing G3, the size of the drawing G3, and the presence or absence of the on/off of the drawing G3.
When the value of the current parameter does not exceed the 1 st threshold value and the 2 nd threshold value (no in step S16), the graph generation unit 15 does not draw a predetermined message.
Then, the display control unit 17 generates display information based on the graph drawn by the graph generating unit 15, and outputs the display information to the display device 20 (step S18). Thus, the display device 20 displays a graph in which a division line G2 representing the threshold value of the current parameter, a plot G3 representing the values of a pair of current parameters, and an arrow G4 representing the amount of change in the value of the current parameter calculated at different timings are arranged.
Fig. 7 is a diagram showing an example of a graph showing the relationship of KI parameters to Lpole parameters.
When the user selects the pair of the KI parameter and the Lpole parameter in step S11, a graph as shown in fig. 7 is displayed on the display device 20. From the graph shown in fig. 7, the state of the object device 30 can be judged based on the KI parameter and the Lpole parameter. The KI parameter and the Lpole parameter have a correlation with respect to the state of the rotor of the object device 30. Therefore, the user can easily confirm the state of the rotor of the target device 30 from the graph shown in fig. 7. Specifically, the KI parameter is increased when the state of the rotor becomes poor, and the Lpole parameter is decreased when the state of the rotor becomes poor. That is, if the state of the rotor is deteriorated, the position of the normal drawing G3 is shifted to the right lower direction. On the other hand, when the direction of movement of the drawing G3 is not the lower right direction, it can be determined that an image different from the normal deterioration of the rotor has occurred. Regardless of whether the user selects the pair of KI and lxaft parameters or the user selects the pair of KI and Lx parameters, a graph similar to that of fig. 7 is displayed on the display device 20.
Fig. 8 is a diagram showing an example of a graph showing a relationship between an IHD parameter and a THD parameter.
In step S11, when the user selects the pair of the IHD parameter and the THD parameter, the display device 20 displays a graph as shown in fig. 8. According to the graph shown in fig. 8, the state of the target device 30 can be determined based on the IHD parameter and the THD parameter. The IHD parameter and the THD parameter have a correlation with respect to the state of the stator of the motor of the object device 30 or the power quality. Therefore, the user can easily confirm the state of the stator of the motor of the target device 30 and the power supply quality from the graph shown in fig. 8. Specifically, the IHD parameter and the THD parameter increase if the state of the stator of the motor or the power quality deteriorates. That is, when the state of the stator of the motor or the power supply quality deteriorates, the position of the drawing G3 normally moves in the right upward direction. On the other hand, when the direction of movement of the drawing G3 is not the right-upper direction, it can be determined that an event different from the state of the stator of the normal motor or the deterioration of the power supply quality has occurred.
Fig. 9 is a diagram showing an example of a graph showing the relationship of the Lpole parameter and the Lshaft parameter.
When the user selects the pair of the Lpole parameter and the lsraft parameter in step S11, a graph as shown in fig. 9 is displayed on the display device 20. From the graph shown in fig. 9, the state of the target device 30 can be determined based on the Lpole parameter and lshift. The Lpole parameter and the lssaft parameter have a correlation with respect to the state of the rotor of the target device 30. Therefore, the user can easily confirm the state of the rotor of the target device 30 from the graph shown in fig. 9. Specifically, the Lpole parameter and the lsraft parameter are decreased if the state of the motor becomes poor. Here, the Lpole parameter and the lsraft parameter are parameters that change in accordance with the deterioration of different portions of the motor. Therefore, the user can estimate the location of the motor where the abnormality occurs by observing the inclination of the moving direction of the drawing G3.
When it is desired to confirm that the current parameters are not in the state of the target device 30, the user may confirm a graph relating to a pair of KI parameter and Lpole parameter, a graph relating to a pair of KI parameter and lshift parameter, a graph relating to a pair of KI parameter and Lx parameter, and a graph relating to a pair of IHD parameter and THD parameter. Alternatively, the user may confirm the chart relating to the pair of Lpole parameter and lsraft parameter, the chart relating to the pair of KI parameter and Lx parameter, and the chart relating to the pair of IHD parameter and THD parameter.
As such, according to embodiment 1, the state analysis device 10 generates display information of the dividing line G2 representing the threshold value, the plot G3 representing the value of the current parameter, and the arrow G4 representing the amount of change in the value of the current parameter, which are arranged in a coordinate space having each of a plurality of current parameters having a correlation with each other as an axis. Thus, the user can recognize how the state of the target device 30 changes even if the user is not skilled in reading the frequency domain graph. As described above, according to embodiment 1, the user can recognize the state other than the state associated with the individual current parameter. In another embodiment, the values of the current parameters may be represented by a graph other than the graph G3. For example, the arrow G4 in embodiment 1 is a graph representing the amount of change in the current parameter, but since the arrow indicates the value of the current parameter related to one timing, the arrow G4 can also be said to be a graph representing the value of the current parameter. In another embodiment, the amount of change in the current parameter may be represented by a pattern other than the arrow G4. For example, the magnitude of the variation of the current parameter may be plotted, or may be represented by the color of the plot G3.
Further, according to embodiment 1, the state analysis device 10 generates display information including a predetermined message when at least 1 value of a plurality of parameters related to different timings crosses a threshold value. This enables the user to recognize the change in the state of the target device 30 as soon as possible. In another embodiment, the state analysis device 10 may change the display form of the plot G3 when at least 1 value of the plurality of parameters related to different timings crosses the threshold value and when the threshold value is not crossed. Thus, as in embodiment 1, the user can recognize the change in the state of the target device 30 as soon as possible.
While one embodiment has been described in detail with reference to the drawings, the specific configuration is not limited to the above, and various design changes and the like can be made.
For example, the state analysis device 10 according to the above-described embodiment displays a graph relating to a pair of current parameters on the display device 20, but is not limited thereto. For example, the state analysis device 10 according to another embodiment may display a high dimensional graph of a set of 3 or more current parameters on the display device 20.
The state analysis device 10 according to the above-described embodiment generates display information in which the division line G2 indicating the threshold value and the plot G3 indicating the value of the current parameter are arranged in the coordinate space in which the plurality of current parameters having a correlation with each other are respectively set as axes, but is not limited to this. For example, the state analysis device 10 according to another embodiment may generate display information indicating a value of one current parameter at one time and a change amount thereof. In such an embodiment, the user can also recognize how the state of the target device 30 changes.
The state analysis device 10 according to the above-described embodiment performs display control by outputting display information to the display device 20 directly connected to itself, but is not limited to this. For example, the state analysis device 10 according to another embodiment may record display information in a storage medium or transmit the display information to another display device 20 connected via a network without performing display control.
The target device 30 according to the above-described embodiment is a rotary mechanical system in which a motor and an attachment rotate coaxially, but is not limited to this. For example, the target device 30 according to another embodiment may be a device in which a motor and an accessory are connected via a mechanical system such as a gear device.
The state analysis device 10 according to the above-described embodiment classifies the state of the target device 30 into 3 of a normal state, an abnormal state, and an attentive state, but is not limited to this. For example, the state analysis device 10 according to another embodiment may be classified into 2 divisions of a normal state and an abnormal state, or into 4 or more divisions.
Fig. 10 is a schematic block diagram showing a configuration of a computer according to at least 1 embodiment.
The computer 90 includes a CPU91, a main storage 92, an auxiliary storage 93, and an interface 94.
The state analysis device 10 described above is installed in the computer 90. The operations of the processing units are stored in the auxiliary storage device 93 as programs. The CPU91 reads out the program from the auxiliary storage device 93 and expands it on the main storage device 92, and executes the above-described processing in accordance with the program. The CPU91 also secures a storage area corresponding to each storage unit described above in the main storage device 92 in accordance with the program.
Examples of the auxiliary storage device 93 include an HDD (Hard Disk Drive), an SSD (Solid State Drive), a magnetic Disk, an optical magnetic Disk, a CD-ROM (Compact Disk Read Only Memory), a DVD-ROM (Digital Versatile Disk), a semiconductor Memory, and the like. The auxiliary storage device 93 may be an internal medium directly connected to the bus of the computer 90, or may be an external medium connected to the computer 90 via the interface 94 or a communication line. When the program is distributed to the computer 90 via a communication line, the computer 90 that has received the distribution may expand the program in the main storage device 92 to execute the above-described processing. In at least 1 embodiment, secondary storage device 93 is a non-transitory tangible storage medium.
In addition, the program may be used to realize a part of the aforementioned functions. Further, the program may realize the above-described functions, that is, a so-called differential file (differential program), in combination with another program already stored in the auxiliary storage device 93.
Industrial applicability
According to the state analysis device, the display method, and the program according to the present application, the state and the change in the state of the target device can be easily recognized.
Description of the symbols
1 State analysis System
10 state analyzer
11 current acquisition part
12 parameter calculating part
13 parameter storage part
14 threshold value storage part
15 Chart generating part
16 transition detection part
17 display control part
20 display device
30 object device
40 three-phase AC power supply
50 power line
60-clamp type current meter
G1 axle
G2 dividing line
3 drawing of
G4 arrow
Claims (7)
1. A state analysis device is characterized by comprising:
a current acquisition unit that acquires a current signal flowing through the target device;
a parameter calculation unit that calculates values of a plurality of parameters that vary according to a state of the target device and that have a correlation with each other, based on the current signal at a timing corresponding to a fixed period; and
and a display information generating unit that generates display information including a division line in which a predetermined threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having each of the plurality of parameters as an axis, a 1 st graph indicating a value of the plurality of parameters related to one timing, and a 2 nd graph indicating a variation amount of the plurality of parameters calculated at different timings.
2. The state analyzing apparatus according to claim 1,
the display information generation unit generates the display information including a predetermined message when at least 1 value of the plurality of parameters relating to different timings crosses the threshold.
3. The state analyzing apparatus according to claim 1 or 2,
the display information generation unit changes the display mode of the 1 st graph between a case where at least 1 value of the plurality of parameters related to different timings crosses the threshold and a case where the at least 1 value does not cross the threshold.
4. The state analyzing apparatus according to claim 1 or 2,
the state of the subject device includes a normal state in which the subject device is normal, an abnormal state in which the subject device is abnormal, and a state in which the state of the subject device may transit to the abnormal state, that is, an attention state,
the display information generating unit generates the display information including, as the division lines, a 1 st division line that divides the normal state and the attentive state and a 2 nd division line that divides the attentive state and the abnormal state.
5. The state analyzing apparatus according to claim 1 or 2,
the object device is a device having a motor whose rotor is rotationally rotated and an attachment rotating together with the rotor,
the plurality of parameters are selected from the group consisting of a parameter indicating a state of the entire target device, a parameter indicating a state of the rotor, a parameter indicating a state in which axes of the rotor and the attachment are not aligned, a parameter indicating an effective value of a current flowing through the motor, a parameter indicating a quality of a power source to which the current relates, and a parameter indicating a state of the attachment.
6. A display method, comprising:
acquiring a current signal flowing through a target device;
calculating values of a plurality of parameters that vary according to a state of the target device and have a correlation with each other, based on the current signal at a timing related to a fixed period;
calculating a variation amount of the values of the plurality of parameters calculated at different timings;
and display information that displays a division line in which a threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having the plurality of parameters as axes, a 1 st graph indicating values of the plurality of parameters at one timing, and a 2 nd graph indicating the amount of change.
7. A computer-readable storage medium storing a program for causing a computer to execute:
acquiring a current signal flowing through a target device;
calculating values of a plurality of parameters that vary according to a state of the target device and have a correlation with each other, based on the current signal at a timing related to a fixed period;
calculating a variation amount of the values of the plurality of parameters calculated at different timings;
display information is generated on a partition line in which a threshold value indicating a criterion for determining a state of the target device is arranged in a coordinate space having the plurality of parameters as axes, on a 1 st graph indicating values of the plurality of parameters at one timing, and on a 2 nd graph indicating the amount of change.
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JP2017019899A JP6793565B2 (en) | 2017-02-06 | 2017-02-06 | State analyzer, display method, and program |
JP2017-019899 | 2017-02-06 | ||
PCT/JP2018/003585 WO2018143404A1 (en) | 2017-02-06 | 2018-02-02 | State analyzing device, display method, and program |
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CN110235010A CN110235010A (en) | 2019-09-13 |
CN110235010B true CN110235010B (en) | 2021-10-15 |
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JP (1) | JP6793565B2 (en) |
KR (1) | KR102238869B1 (en) |
CN (1) | CN110235010B (en) |
PH (1) | PH12019501815A1 (en) |
SG (1) | SG11201907246RA (en) |
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WO (1) | WO2018143404A1 (en) |
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JP6764516B1 (en) * | 2019-11-08 | 2020-09-30 | Dmg森精機株式会社 | Machine tools and display devices |
JP2021196267A (en) * | 2020-06-15 | 2021-12-27 | 三菱パワー株式会社 | Sign determination device, sign determination method, and program |
KR102451079B1 (en) * | 2020-12-24 | 2022-10-06 | 주식회사 크로커스 | Visual Abstraction Analysis Method of Power System |
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CN102870057A (en) * | 2010-04-08 | 2013-01-09 | 株式会社日立制作所 | Plant diagnosis device, diagnosis method, and diagnosis program |
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JP3392526B2 (en) * | 1994-07-29 | 2003-03-31 | 株式会社東芝 | Equipment maintenance management support equipment |
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KR101456589B1 (en) * | 2012-12-05 | 2014-11-03 | (주)나다에스앤브이 | State Management System For Machine Equipment |
CN103995245B (en) * | 2014-06-10 | 2017-02-01 | 哈尔滨工业大学 | Fault judgment method of stator and rotor current signal detection system of doubly-fed wind generator |
JP2016095751A (en) * | 2014-11-17 | 2016-05-26 | 富士通株式会社 | Abnormality unit identification program, abnormality unit identification method and abnormality unit identification system |
JP6371236B2 (en) * | 2015-02-23 | 2018-08-08 | 株式会社日立製作所 | Predictive diagnostic system, predictive diagnostic method, and predictive diagnostic apparatus |
JP5985099B1 (en) * | 2016-03-31 | 2016-09-06 | 株式会社高田工業所 | Rotating machine system abnormality detection method, rotating machine system abnormality monitoring method using the abnormality detection method, and rotating machine system abnormality monitoring apparatus using the abnormality monitoring method |
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2017
- 2017-02-06 JP JP2017019899A patent/JP6793565B2/en active Active
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2018
- 2018-02-02 SG SG11201907246RA patent/SG11201907246RA/en unknown
- 2018-02-02 WO PCT/JP2018/003585 patent/WO2018143404A1/en active Application Filing
- 2018-02-02 KR KR1020197022705A patent/KR102238869B1/en active IP Right Grant
- 2018-02-02 CN CN201880009002.3A patent/CN110235010B/en active Active
- 2018-02-05 TW TW107103969A patent/TWI683112B/en active
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JPH07129232A (en) * | 1993-11-08 | 1995-05-19 | Toshiba Corp | Plant monitor device |
CN102870057A (en) * | 2010-04-08 | 2013-01-09 | 株式会社日立制作所 | Plant diagnosis device, diagnosis method, and diagnosis program |
CN103562810A (en) * | 2010-12-28 | 2014-02-05 | 株式会社东芝 | Process state monitoring device |
JP2013055777A (en) * | 2011-09-02 | 2013-03-21 | Mitsubishi Electric Corp | Control data collection estimation device and control data collection estimation method |
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KR20190100379A (en) | 2019-08-28 |
CN110235010A (en) | 2019-09-13 |
TW201840990A (en) | 2018-11-16 |
JP2018128284A (en) | 2018-08-16 |
PH12019501815A1 (en) | 2020-09-14 |
JP6793565B2 (en) | 2020-12-02 |
WO2018143404A1 (en) | 2018-08-09 |
SG11201907246RA (en) | 2019-09-27 |
TWI683112B (en) | 2020-01-21 |
KR102238869B1 (en) | 2021-04-09 |
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