WO2021256359A1 - Sign determination device, sign determination method, and program - Google Patents

Sign determination device, sign determination method, and program Download PDF

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Publication number
WO2021256359A1
WO2021256359A1 PCT/JP2021/022044 JP2021022044W WO2021256359A1 WO 2021256359 A1 WO2021256359 A1 WO 2021256359A1 JP 2021022044 W JP2021022044 W JP 2021022044W WO 2021256359 A1 WO2021256359 A1 WO 2021256359A1
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WIPO (PCT)
Prior art keywords
value
sign
parameter
evaluation parameters
evaluation
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PCT/JP2021/022044
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French (fr)
Japanese (ja)
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靖 森下
隆 園田
和弘 露木
尚之 永渕
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三菱パワー株式会社
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Publication of WO2021256359A1 publication Critical patent/WO2021256359A1/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • 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

Definitions

  • the present disclosure relates to a sign determination device, a sign determination method and a program.
  • the present application claims priority with respect to Japanese Patent Application No. 2020-102907 filed in Japan on June 15, 2020, the contents of which are incorporated herein by reference.
  • Patent Document 1 describes the motor based on the reference amplitude probability density function obtained from the reference sinusoidal signal waveform of the rated current of the motor and the amplitude probability density function at the time of inspection obtained from the current waveform during operation of the motor.
  • a technique for diagnosing an abnormality of an electric motor for determining whether or not there is an abnormality is disclosed.
  • Patent Document 2 the current signal during operation of the motor is sampled, filtered by a high-pass filter, and then fast Fourier transform is performed on the time-series signal of the current subjected to the envelope processing, and the peak group of the spectrum is performed.
  • Disclosed is a technique for detecting an abnormality in a bearing of a gear of a rotary mechanical system or an abnormality in meshing of the gear by detecting the above.
  • An object of the present disclosure is to provide a sign determination device, a sign determination method and a program for solving the above-mentioned problems.
  • the sign determination device includes a measurement result acquisition unit that acquires the measurement result of the current flowing through the motor, a parameter acquisition unit that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of evaluation parameters. , The first specific part that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the second specific part that specifies the maximum value among the values corresponding to the plurality of specified evaluation parameters.
  • a determination unit for determining whether or not there is a sign of abnormality in the motor is provided by comparing the specified maximum value with a preset threshold value.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in, specifying the maximum value among the values corresponding to the specified plurality of evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the motor in light of the threshold value.
  • the program according to the present disclosure is to acquire the measurement result of the current flowing through the motor of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluations for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It is executed as a judgment as to whether or not there is a sign of abnormality of the electric motor in light of the threshold value.
  • only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
  • the sign determination system 1 determines a sign of abnormality in the electric motor 11.
  • FIG. 1 is a diagram showing a configuration of a sign determination system 1 according to the first embodiment.
  • the sign determination system 1 includes a power source 10, an electric motor 11, an electric wire 12, a load 13, a measuring instrument 16, a converter 17, and a sign determination device 100.
  • the electric power source 10 supplies an electric current to the electric motor 11 via the electric wire 12.
  • the electric motor 11 receives a current from the power source 10 via the electric wire 12.
  • the electric motor 11 that has received the electric current rotates the shaft 14A included in the electric motor 11 to rotate the shaft 14B included in the load 13.
  • the shaft 14B is rotated by the motor 11. That is, the load 13 is driven by the electric motor 11. Further, the load 13 includes a bearing 15A and a bearing 15B that support the shaft 14B. Lubricating oil is supplied to the bearings 15A and 15B. The lubricating oil reduces the friction between the bearing 15A and the bearing 15B and the shaft 14B.
  • the measuring instrument 16 measures the current flowing through the electric wire 12. That is, the measuring instrument 16 measures the current flowing through the electric motor 11 via the electric wire 12.
  • An example of the measuring instrument 16 is a current transducer (CT).
  • CT current transducer
  • the measuring instrument 16 measures the current and acquires an analog current waveform.
  • the converter 17 converts the analog current waveform acquired by the measuring instrument 16 into digital current data.
  • the converter 17 transmits the converted digital current data to the sign determination device 100. That is, the converter 17 transmits the measurement result of the current flowing through the electric motor 11 to the sign determination device 100.
  • the sign determination device 100 determines whether or not there is a sign of abnormality in the electric motor 11.
  • abnormalities of the motor 11 include a change in the shape of the shaft 14B due to friction between the shaft 14B and the bearing 15A and the bearing 15B, a change in the shape of the bearing 15A and the bearing 15B, and a deterioration of the motor 11 or the load 13 over time or the shaft 14B due to rust.
  • the shape change or the shape change of the bearing 15A and the bearing 15B can be mentioned.
  • FIG. 2 is a schematic block diagram showing the configuration of the sign determination device 100.
  • the sign determination device 100 includes a measurement result acquisition unit 101, a parameter acquisition unit 102, a first specific unit 103, a correction unit 104, a second specific unit 105, a determination unit 106, and an output unit 107.
  • the measurement result acquisition unit 101 acquires the digital current data transmitted from the converter 17. That is, the measurement result acquisition unit 101 acquires the measurement result of the current flowing through the electric motor 11.
  • the measurement result is digital current data.
  • the parameter acquisition unit 102 analyzes the measurement result by FFT (Fast Fourier Transform) and acquires a plurality of evaluation parameters. For example, the parameter acquisition unit 102 acquires the Lpole parameter, the Irms parameter, the IHD parameter, and the THD parameter as evaluation parameters.
  • FFT Fast Fourier Transform
  • the Lpole parameter is a parameter representing the state of the rotor (not shown) included in the motor 11.
  • the Lpole parameter is the value of the peak of the sideband wave of the current spectrum at a frequency position separated by a predetermined frequency from the current spectrum peak in the frequency spectrum obtained by converting the current signal into the frequency domain.
  • the sideband wave related to the Lpole parameter is a sideband wave that fluctuates due to the pole passing frequency of the motor 11.
  • the Irms parameter is a parameter for monitoring the load 13.
  • the Irms parameter is a current effective value that can be obtained by dividing the sum of squares of the current values at each sampling timing by the number of sampling timings and obtaining the square root thereof.
  • the IHD parameter is the ratio of the maximum harmonic component of the current signal to the power supply frequency component.
  • the IHD parameter can be obtained by extracting the harmonic component from the current signal and dividing the maximum value within the preset order of the harmonic component by the effective value of the power supply frequency.
  • the THD parameter is the ratio of the total harmonic component of the current signal to the power frequency component.
  • the THD parameter can be obtained by extracting harmonic components from the current signal and dividing the square root of the sum of squares of each harmonic component within a preset order by the effective power frequency of the current signal.
  • the above IHD parameter and THD parameter are both parameters representing the quality of the power source 10.
  • the first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters.
  • Examples of the peak value of the sideband wave include the Lshaft parameter and the Lpole parameter.
  • the value of the peak of the sideband wave is an example of the value corresponding to the evaluation parameter.
  • the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
  • the correction unit 104 corrects the peak value of the sideband wave specified by the first specific unit 103 based on the correction value set in advance.
  • the correction value is set according to the operating condition of the plant in which the sign determination system 1 is provided. For example, the correction unit 104 calculates each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified by the first specific unit 103, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value. to correct.
  • the correction value is set to a different value for each evaluation parameter. Further, the correction value is set to a different value depending on the measurement result acquired by the measurement result acquisition unit 101. Further, the correction value is set so that a sign of an abnormality due to deterioration over time and a sign of an abnormality that occurs suddenly can be classified.
  • the second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave. For example, the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
  • the determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11. For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11.
  • the threshold value may be a different value depending on the measurement result acquired by the measurement result acquisition unit 101. For example, the threshold value may be a different value for each frequency.
  • the output unit 107 outputs the content determined by the determination unit 106 and the maximum value specified by the second identification unit 105 to the notification device (not shown) provided in the sign determination system 1.
  • the notification device include a display device and a speaker.
  • the signal output by the output unit 107 include a signal indicating an image and a signal related to audio.
  • the display device displays the determined content and the specified maximum value to the user of the sign determination system 1.
  • the user of the sign determination system 1 can confirm the determined content.
  • the user of the sign determination system 1 can confirm the specified maximum value. Thereby, the user of the sign determination system 1 can evaluate the electric motor 11 based on the maximum value.
  • FIG. 3 is a flowchart showing the operation of the sign determination system 1.
  • the measuring instrument 16 measures the current and acquires an analog current waveform (step S1).
  • the converter 17 converts the analog current waveform acquired in step S1 into digital data (step S2).
  • the measurement result acquisition unit 101 acquires the measurement result, which is digital data, from the converter 17 (step S3).
  • the parameter acquisition unit 102 acquires evaluation parameters by performing an FFT analysis on the measurement result in step S3 (step S4).
  • the parameter acquisition unit 102 acquires an Irms parameter, an IHD parameter, and a THD parameter, which are evaluation parameters that are not Lpole parameters.
  • the first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the evaluation parameters acquired in step S4 (step S5).
  • the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
  • the correction unit 104 corrects the peak value of the sideband wave specified in step S5 based on the correction value set in advance (step S6). For example, the correction unit 104 corrects each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified in step S5, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value.
  • the second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave (step S7).
  • the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
  • the determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11 (step S8). For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11.
  • the output unit 107 outputs the content determined in step S8 and the maximum value specified in step S7 to a notification device (not shown) provided in the sign determination system 1 (step S9).
  • the notifying device informs the user of the sign determination system 1 of the determined content and the specified maximum value.
  • the sign determination device 100 includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of parameters.
  • the first specifying unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the first specifying the maximum value among the values corresponding to the plurality of specified evaluation parameters. 2
  • the specific unit 105 and a determination unit 106 for determining whether or not there is a sign of abnormality of the motor by comparing the specified maximum value with a preset threshold value are provided.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value of the value obtained by converting a plurality of parameters into predetermined parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the first specific unit 103 of the sign determination device 100 specifies the peak value of the side band wave for each evaluation parameter that is not the peak value of the side band wave among the plurality of evaluation parameters, and the second specific unit 105 determines the value of the peak of the side band wave.
  • the maximum value is specified among the evaluation parameters that are the peak values of the sideband waves and the peak values of a plurality of specified sideband waves.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes a correction unit 104 that corrects the value of the peak of the specified sideband wave based on a preset correction value, and the second specific unit 105 is the peak of the sideband wave. Specify the maximum value among the evaluation parameters that are the values and the peak value of the corrected sideband wave.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
  • the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
  • the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
  • the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
  • the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
  • the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
  • the user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of the threshold value.
  • the user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the program according to the present disclosure is to acquire the measurement result of the current flowing through the motor 11 of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specify the value corresponding to one evaluation parameter included in the evaluation parameter, specify the maximum value among the values corresponding to the specified multiple evaluation parameters, and set the specified maximum value in advance. It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of the set threshold value.
  • the user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
  • FIG. 4 is a schematic block diagram showing the configuration of a computer according to at least one embodiment.
  • the computer 1100 includes a processor 1110, a main memory 1120, a storage 1130, and an interface 1140.
  • the above-mentioned sign determination device 100 is mounted on the computer 1100.
  • the operation of each of the above-mentioned processing units is stored in the storage 1130 in the form of a program.
  • the processor 1110 reads a program from the storage 1130, expands it into the main memory 1120, and executes the above processing according to the program. Further, the processor 1110 secures a storage area corresponding to each of the above-mentioned storage units in the main memory 1120 according to the program.
  • the program may be for realizing a part of the functions exerted by the computer 1100.
  • the program may exert its function in combination with another program already stored in the storage 1130, or in combination with another program mounted on another device.
  • the computer 1100 may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or in place of the above configuration.
  • PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate).
  • PLDs Programmable Logic Device
  • PAL Programmable Array Logic
  • GAL Generic Array Logic
  • CPLD Complex Programmable Logic Device
  • FPGA Field Programmable Gate
  • Examples of the storage 1130 include magnetic disks, magneto-optical disks, semiconductor memories, and the like.
  • the storage 1130 may be internal media directly connected to the bus of computer 1100, or external media connected to the computer via interface 1140 or a communication line.
  • this program is distributed to the computer 1100 via a communication line, the distributed computer 1100 may expand the program to the main memory 1120 and execute the above processing.
  • the storage 1130 is a non-temporary tangible storage medium.
  • the program may be for realizing a part of the above-mentioned functions. Further, the program may be a so-called difference file (difference program) that realizes the above-mentioned function in combination with another program already stored in the storage 1130.
  • difference file difference program
  • the sign determination device 100 includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, and a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result.
  • the first specific unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the maximum value among the values corresponding to the plurality of specified evaluation parameters are set.
  • a second specific unit 105 to be specified and a determination unit 106 for determining whether or not there is a sign of abnormality of the electric motor by comparing the specified maximum value with a preset threshold value are provided.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the first specifying unit 103 of the sign determination device 100 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters, and the second specifying unit 103.
  • Reference numeral 105 specifies the maximum value among the evaluation parameter which is the value of the peak of the sideband wave and the value of the peak of the plurality of specified sideband waves.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes a correction unit 104 that corrects the peak value of the specified side band wave based on a preset correction value, and the second specific unit 105 is a side band wave.
  • the maximum value is specified among the evaluation parameters, which are the peak values of, and the peak values of the corrected sideband waves.
  • the sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
  • the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
  • the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
  • the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
  • the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
  • the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
  • the sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
  • the user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
  • the predictive determination method is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to acquire a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of a preset threshold value.
  • the user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
  • the computer acquires the measurement result of the current flowing through the motor 11, frequency-analyzes the measurement result to acquire a plurality of evaluation parameters, and obtains a plurality of evaluation parameters for each of the plurality of evaluation parameters. , Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. , It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of a preset threshold value.
  • the user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
  • only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
  • Predictive judgment system 10 Power source 11 Electric wire 12 Electric wire 13 Load 14 Shaft 15 Bearing 16 Measuring instrument 17 Converter 100 Predictive judgment device 101 Measurement result acquisition unit 102 Parameter acquisition unit 103 1st specific unit 104 Correction unit 105 2nd specific unit 106 Judgment unit 107 Output unit 1100 Computer 1110 Processor 1120 Main memory 1130 Storage 1140 Interface

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Control Of Electric Motors In General (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

This sign determination device comprises: a measurement result acquisition unit which acquires a measurement result of a current flowing through an electric motor; a parameter acquisition unit which performs a frequency analysis on the measurement result and acquires a plurality of evaluation parameters; a first specification unit which specifies, for each of the plurality of evaluation parameters, a value corresponding to one evaluation parameter included in the plurality of evaluation parameters; a second specification unit which specifies a maximum value among the specified values corresponding to the plurality of evaluation parameters; and a determination unit which compares the specified maximum value with a preset threshold to determine whether there is an abnormal sign of the electric motor.

Description

予兆判定装置、予兆判定方法及びプログラムPredictive judgment device, Predictive judgment method and program
　本開示は、予兆判定装置、予兆判定方法及びプログラムに関する。
　本願は、２０２０年６月１５日に日本に出願された特願２０２０－１０２９０７号について優先権を主張し、その内容をここに援用する。 The present disclosure relates to a sign determination device, a sign determination method and a program.
The present application claims priority with respect to Japanese Patent Application No. 2020-102907 filed in Japan on June 15, 2020, the contents of which are incorporated herein by reference.
　特許文献１には、電動機の定格電流の基準正弦波信号波形から求められた参照振幅確率密度関数と、電動機の稼働時の電流波形から求められた点検時振幅確率密度関数に基づいて、電動機に異常があるか否かを判定する電動機の異常診断方法の技術が開示されている。 Patent Document 1 describes the motor based on the reference amplitude probability density function obtained from the reference sinusoidal signal waveform of the rated current of the motor and the amplitude probability density function at the time of inspection obtained from the current waveform during operation of the motor. A technique for diagnosing an abnormality of an electric motor for determining whether or not there is an abnormality is disclosed.
　特許文献２には、電動機の稼働時の電流信号をサンプリングして、ハイパスフィルターによるフィルター処理を行った後、包絡線処理を行った電流の時系列信号に高速フーリエ変換を行い、スペクトルのピーク群を検出することにより、回転機械系の歯車の軸受又は歯車の噛み合いの異常を検知する技術が開示されている。 In Patent Document 2, the current signal during operation of the motor is sampled, filtered by a high-pass filter, and then fast Fourier transform is performed on the time-series signal of the current subjected to the envelope processing, and the peak group of the spectrum is performed. Disclosed is a technique for detecting an abnormality in a bearing of a gear of a rotary mechanical system or an abnormality in meshing of the gear by detecting the above.
特開２０１１－２５７３６２号公報Japanese Unexamined Patent Publication No. 2011-257362 特開２０１５－００４６９４号公報Japanese Unexamined Patent Publication No. 2015-004694
　電動機を流れる電流に係る単一のパラメータの変化傾向に基づいて、電動機の異常の予兆を判定する技術が知られている。しかし、単一のパラメータの変化傾向から判定できる予兆の態様は限界があり、予め予兆を判定できない電動機の異常が存在していた。
　本開示の目的は、上述した課題を解決する予兆判定装置、予兆判定方法及びプログラムを提供することにある。 There is known a technique for determining a sign of abnormality in a motor based on a change tendency of a single parameter related to a current flowing through the motor. However, there is a limit to the mode of the sign that can be determined from the change tendency of a single parameter, and there is an abnormality of the motor that cannot determine the sign in advance.
An object of the present disclosure is to provide a sign determination device, a sign determination method and a program for solving the above-mentioned problems.
　本開示に係る予兆判定装置は、電動機を流れる電流の計測結果を取得する計測結果取得部と、計測結果を周波数解析して複数の評価パラメータを取得するパラメータ取得部と、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定する第１特定部と、特定される複数の評価パラメータに相当する値のうち、最大値を特定する第２特定部と、特定された最大値を、予め設定された閾値に照らし合わせて、電動機の異常の予兆があるか否かを判定する判定部を備える。 The sign determination device according to the present disclosure includes a measurement result acquisition unit that acquires the measurement result of the current flowing through the motor, a parameter acquisition unit that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of evaluation parameters. , The first specific part that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the second specific part that specifies the maximum value among the values corresponding to the plurality of specified evaluation parameters. A determination unit for determining whether or not there is a sign of abnormality in the motor is provided by comparing the specified maximum value with a preset threshold value.
　本開示に係る予兆判定方法は、電動機を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機の異常の予兆があるか否かを判定することを含む。 The predictive determination method according to the present disclosure is to acquire the measurement result of the current flowing through the motor, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in, specifying the maximum value among the values corresponding to the specified plurality of evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the motor in light of the threshold value.
　本開示に係るプログラムは、コンピュータを、電動機を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機の異常の予兆があるか否かを判定することとして実行させる。 The program according to the present disclosure is to acquire the measurement result of the current flowing through the motor of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluations for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It is executed as a judgment as to whether or not there is a sign of abnormality of the electric motor in light of the threshold value.
　上記態様のうち少なくとも１つの態様によれば、複数のパラメータを所定のパラメータに変換して得られる値の最大値に基づいて、電動機の異常の予兆を判定するため、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 According to at least one of the above embodiments, only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
一実施形態に係る予兆判定システムの構成を示す図である。It is a figure which shows the structure of the sign determination system which concerns on one Embodiment. 一実施形態に係る予兆判定装置の構成を示す概略ブロック図である。It is a schematic block diagram which shows the structure of the sign determination apparatus which concerns on one Embodiment. 一実施形態に係る予兆判定装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the sign determination apparatus which concerns on one Embodiment. 少なくとも１つの実施形態に係るコンピュータの構成を示す概略ブロック図である。It is a schematic block diagram which shows the structure of the computer which concerns on at least one Embodiment.
〈第１の実施形態〉
《予兆判定システムの構成》
　以下、図面を参照しながら実施形態に係る予兆判定システム１の構成について詳しく説明する。予兆判定システム１は、電動機１１の異常の予兆を判定する。 <First Embodiment>
<< Configuration of predictive judgment system >>
Hereinafter, the configuration of the sign determination system 1 according to the embodiment will be described in detail with reference to the drawings. The sign determination system 1 determines a sign of abnormality in the electric motor 11.
　図１は、第１の実施形態に係る予兆判定システム１の構成を示す図である。
　予兆判定システム１は、電力源１０と、電動機１１と、電線１２と、負荷１３と、計測器１６と、変換器１７と、予兆判定装置１００を備える。 FIG. 1 is a diagram showing a configuration of a sign determination system 1 according to the first embodiment.
The sign determination system 1 includes a power source 10, an electric motor 11, an electric wire 12, a load 13, a measuring instrument 16, a converter 17, and a sign determination device 100.
　電力源１０は電線１２を介して電動機１１に電流を供給する。
　電動機１１は電線１２を介して電力源１０から電流を受け入れる。電流を受け入れた電動機１１は、電動機１１が備える軸１４Ａを回転させて、負荷１３が備える軸１４Ｂを回転させる。 The electric power source 10 supplies an electric current to the electric motor 11 via the electric wire 12.
The electric motor 11 receives a current from the power source 10 via the electric wire 12. The electric motor 11 that has received the electric current rotates the shaft 14A included in the electric motor 11 to rotate the shaft 14B included in the load 13.
　電動機１１により軸１４Ｂが回転される。すなわち、負荷１３は電動機１１により駆動される。また、負荷１３は、軸１４Ｂを支持する軸受１５Ａ及び軸受１５Ｂを備える。軸受１５Ａ及び軸受１５Ｂには潤滑油が供給される。潤滑油は軸受１５Ａ及び軸受１５Ｂと軸１４Ｂとの摩擦を低減させる。 The shaft 14B is rotated by the motor 11. That is, the load 13 is driven by the electric motor 11. Further, the load 13 includes a bearing 15A and a bearing 15B that support the shaft 14B. Lubricating oil is supplied to the bearings 15A and 15B. The lubricating oil reduces the friction between the bearing 15A and the bearing 15B and the shaft 14B.
　計測器１６は電線１２を流れる電流を計測する。すなわち、計測器１６は電線１２を介して電動機１１に流れる電流を計測する。計測器１６の例としては、検流器（Ｃｕｒｒｅｎｔ　Ｔｒａｎｓｄｕｃｅｒ、ＣＴ）が挙げられる。計測器１６は、電流を計測してアナログの電流波形を取得する。 The measuring instrument 16 measures the current flowing through the electric wire 12. That is, the measuring instrument 16 measures the current flowing through the electric motor 11 via the electric wire 12. An example of the measuring instrument 16 is a current transducer (CT). The measuring instrument 16 measures the current and acquires an analog current waveform.
　変換器１７は、計測器１６で取得したアナログの電流波形をデジタルの電流データに変換する。変換器１７は、変換したデジタルの電流データを予兆判定装置１００に送信する。すなわち、変換器１７は、電動機１１を流れる電流の計測結果を予兆判定装置１００に送信する。 The converter 17 converts the analog current waveform acquired by the measuring instrument 16 into digital current data. The converter 17 transmits the converted digital current data to the sign determination device 100. That is, the converter 17 transmits the measurement result of the current flowing through the electric motor 11 to the sign determination device 100.
《予兆判定装置の構成》
　以下、予兆判定装置１００の構成について説明する。
　予兆判定装置１００は、電動機１１の異常の予兆があるか否かを判定する。
　電動機１１の異常の例としては、軸１４Ｂと軸受１５Ａ及び軸受１５Ｂの摩擦による軸１４Ｂの形状変化又は軸受１５Ａ及び軸受１５Ｂの形状変化と、電動機１１又は負荷１３の経時劣化又は錆による軸１４Ｂの形状変化又は軸受１５Ａ及び軸受１５Ｂの形状変化と、が挙げられる。 << Configuration of sign judgment device >>
Hereinafter, the configuration of the sign determination device 100 will be described.
The sign determination device 100 determines whether or not there is a sign of abnormality in the electric motor 11.
Examples of abnormalities of the motor 11 include a change in the shape of the shaft 14B due to friction between the shaft 14B and the bearing 15A and the bearing 15B, a change in the shape of the bearing 15A and the bearing 15B, and a deterioration of the motor 11 or the load 13 over time or the shaft 14B due to rust. The shape change or the shape change of the bearing 15A and the bearing 15B can be mentioned.
　図２は、予兆判定装置１００の構成を示す概略ブロック図である。
　予兆判定装置１００は、計測結果取得部１０１と、パラメータ取得部１０２と、第１特定部１０３と、補正部１０４と、第２特定部１０５と、判定部１０６と、出力部１０７を備える。 FIG. 2 is a schematic block diagram showing the configuration of the sign determination device 100.
The sign determination device 100 includes a measurement result acquisition unit 101, a parameter acquisition unit 102, a first specific unit 103, a correction unit 104, a second specific unit 105, a determination unit 106, and an output unit 107.
　計測結果取得部１０１は、変換器１７から送信されたデジタルの電流データを取得する。すなわち、計測結果取得部１０１は電動機１１を流れる電流の計測結果を取得する。計測結果とは、デジタルの電流データである。 The measurement result acquisition unit 101 acquires the digital current data transmitted from the converter 17. That is, the measurement result acquisition unit 101 acquires the measurement result of the current flowing through the electric motor 11. The measurement result is digital current data.
　パラメータ取得部１０２は、計測結果をＦＦＴ（Ｆａｓｔ　Ｆｏｕｒｉｅｒ　Ｔｒａｎｓｆｏｒｍ）解析して複数の評価パラメータを取得する。例えば、パラメータ取得部１０２は、評価パラメータとして、Ｌｐｏｌｅパラメータと、Ｉｒｍｓパラメータと、ＩＨＤパラメータと、ＴＨＤパラメータを取得する。
　以下、評価パラメータについて詳細に説明する。 The parameter acquisition unit 102 analyzes the measurement result by FFT (Fast Fourier Transform) and acquires a plurality of evaluation parameters. For example, the parameter acquisition unit 102 acquires the Lpole parameter, the Irms parameter, the IHD parameter, and the THD parameter as evaluation parameters.
Hereinafter, the evaluation parameters will be described in detail.
　Ｌｐｏｌｅパラメータは、電動機１１が備えるロータ（図示しない）の状態を表すパラメータである。Ｌｐｏｌｅパラメータは、電流信号を周波数領域変換して得られる周波数スペクトルのうち、電流スペクトルピークを中心として、所定周波数分だけ離れた周波数位置における電流スペクトルの側帯波のピークの値である。Ｌｐｏｌｅパラメータに係る側帯波は、電動機１１のポール通過周波数に起因して変動する側帯波である。 The Lpole parameter is a parameter representing the state of the rotor (not shown) included in the motor 11. The Lpole parameter is the value of the peak of the sideband wave of the current spectrum at a frequency position separated by a predetermined frequency from the current spectrum peak in the frequency spectrum obtained by converting the current signal into the frequency domain. The sideband wave related to the Lpole parameter is a sideband wave that fluctuates due to the pole passing frequency of the motor 11.
　Ｉｒｍｓパラメータは、負荷１３を監視するためのパラメータである。Ｉｒｍｓパラメータは、各サンプリングタイミングにおける電流値の二乗和をサンプリングタイミング数で除算し、その平方根を求めることで得ることができる、電流実効値である。 The Irms parameter is a parameter for monitoring the load 13. The Irms parameter is a current effective value that can be obtained by dividing the sum of squares of the current values at each sampling timing by the number of sampling timings and obtaining the square root thereof.
　ＩＨＤパラメータは、電流信号の最大高調波成分と電源周波数成分の比率である。ＩＨＤパラメータは、電流信号から高調波成分を抽出し、高調波成分の予め設定した次数内にある最大値を、電源周波数実効値で除算することで得ることができる。 The IHD parameter is the ratio of the maximum harmonic component of the current signal to the power supply frequency component. The IHD parameter can be obtained by extracting the harmonic component from the current signal and dividing the maximum value within the preset order of the harmonic component by the effective value of the power supply frequency.
　ＴＨＤパラメータは、電流信号の全高調波成分と電源周波数成分の比率である。ＴＨＤパラメータは、電流信号から高調波成分を抽出し、予め設定した次数内における各高調波成分の二乗和の平方根を、電流信号の電源周波数実効値で除算することで得ることができる。 The THD parameter is the ratio of the total harmonic component of the current signal to the power frequency component. The THD parameter can be obtained by extracting harmonic components from the current signal and dividing the square root of the sum of squares of each harmonic component within a preset order by the effective power frequency of the current signal.
　上記のＩＨＤパラメータおよびＴＨＤパラメータは、いずれも電力源１０の品質を表すパラメータである。 The above IHD parameter and THD parameter are both parameters representing the quality of the power source 10.
　第１特定部１０３は、複数の評価パラメータのうち、側帯波のピークの値でない評価パラメータごとに、側帯波のピークの値を特定する。側帯波のピークの値の例としては、Ｌｓｈａｆｔパラメータと、Ｌｐｏｌｅパラメータが挙げられる。側帯波のピークの値は、評価パラメータに相当する値の一例である。
　例えば、第１特定部１０３は、Ｌｐｏｌｅパラメータでない評価パラメータであるＩｒｍｓパラメータと、ＩＨＤパラメータと、ＴＨＤパラメータのそれぞれのＬｐｏｌｅパラメータを特定する。 The first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters. Examples of the peak value of the sideband wave include the Lshaft parameter and the Lpole parameter. The value of the peak of the sideband wave is an example of the value corresponding to the evaluation parameter.
For example, the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
　補正部１０４は、予め設定された補正値に基づいて、第１特定部１０３により特定された側帯波のピークの値を補正する。上記補正値は、予兆判定システム１が設けられるプラントの運転状況により設定される。
　例えば、補正部１０４は、第１特定部１０３が特定したＩｒｍｓパラメータのＬｐｏｌｅパラメータと、ＩＨＤパラメータのＬｐｏｌｅパラメータと、ＴＨＤパラメータのＬｐｏｌｅパラメータと、補正値とを演算することにより、それぞれのＬｐｏｌｅパラメータを補正する。ここで、補正値は評価パラメータごとに異なる値で設定される。また、補正値は計測結果取得部１０１が取得した計測結果により異なる値で設定される。また、補正値は、経時劣化による異常の予兆と、突発的に発生する異常の予兆とが分類できるように、設定される。 The correction unit 104 corrects the peak value of the sideband wave specified by the first specific unit 103 based on the correction value set in advance. The correction value is set according to the operating condition of the plant in which the sign determination system 1 is provided.
For example, the correction unit 104 calculates each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified by the first specific unit 103, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value. to correct. Here, the correction value is set to a different value for each evaluation parameter. Further, the correction value is set to a different value depending on the measurement result acquired by the measurement result acquisition unit 101. Further, the correction value is set so that a sign of an abnormality due to deterioration over time and a sign of an abnormality that occurs suddenly can be classified.
　第２特定部１０５は、側帯波のピークの値である評価パラメータ及び補正された側帯波のピークの値のうち、最大値を特定する。例えば、第２特定部１０５はＬｐｏｌｅパラメータと、補正されたＩｒｍｓパラメータのＬｐｏｌｅパラメータと、補正されたＩＨＤパラメータのＬｐｏｌｅパラメータと、補正されたＴＨＤパラメータのＬｐｏｌｅパラメータのうち、最大値を特定する。 The second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave. For example, the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
　判定部１０６は、第２特定部１０５により特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定する。例えば、判定部１０６は、特定された最大値が閾値以上である場合、電動機１１の異常の予兆があると判定する。他方、判定部１０６は、特定された最大値が閾値以上でない場合、電動機１１の異常の予兆がないと判定する。閾値は、計測結果取得部１０１が取得する計測結果により異なる値であっても良い。例えば、閾値は周波数ごとに異なる値であっても良い。 The determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11. For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11. The threshold value may be a different value depending on the measurement result acquired by the measurement result acquisition unit 101. For example, the threshold value may be a different value for each frequency.
　出力部１０７は、判定部１０６により判定された内容及び第２特定部１０５により特定された最大値を、予兆判定システム１が備える報知装置（図示しない）に出力する。報知装置の例としては、ディスプレイ装置と、スピーカとが挙げられる。出力部１０７が出力する信号の例としては、画像を示す信号と、音声に係る信号が挙げられる。ディスプレイ装置は、判定された内容及び特定された最大値を、予兆判定システム１のユーザに表示する。これにより、予兆判定システム１のユーザは、判定された内容を確認することができる。加えて、予兆判定システム１のユーザは、特定された最大値を確認することができる。これにより、予兆判定システム１のユーザは、最大値に基づいて電動機１１を評価することができる。 The output unit 107 outputs the content determined by the determination unit 106 and the maximum value specified by the second identification unit 105 to the notification device (not shown) provided in the sign determination system 1. Examples of the notification device include a display device and a speaker. Examples of the signal output by the output unit 107 include a signal indicating an image and a signal related to audio. The display device displays the determined content and the specified maximum value to the user of the sign determination system 1. As a result, the user of the sign determination system 1 can confirm the determined content. In addition, the user of the sign determination system 1 can confirm the specified maximum value. Thereby, the user of the sign determination system 1 can evaluate the electric motor 11 based on the maximum value.
《予兆判定システムの動作》
　以下、予兆判定システム１の動作について説明する。
　図３は、予兆判定システム１の動作を示すフローチャートである。 << Operation of the sign judgment system >>
Hereinafter, the operation of the sign determination system 1 will be described.
FIG. 3 is a flowchart showing the operation of the sign determination system 1.
　計測器１６は電流を計測してアナログの電流波形を取得する（ステップＳ１）。
　変換器１７はステップＳ１で取得したアナログの電流波形を、デジタルのデータに変換する（ステップＳ２）。 The measuring instrument 16 measures the current and acquires an analog current waveform (step S1).
The converter 17 converts the analog current waveform acquired in step S1 into digital data (step S2).
　計測結果取得部１０１は変換器１７からデジタルのデータである計測結果を取得する（ステップＳ３）。
　パラメータ取得部１０２は、ステップＳ３の計測結果をＦＦＴ解析することにより評価パラメータを取得する（ステップＳ４）。
　例えば、パラメータ取得部１０２は、Ｌｐｏｌｅパラメータでない評価パラメータであるＩｒｍｓパラメータと、ＩＨＤパラメータと、ＴＨＤパラメータを取得する。 The measurement result acquisition unit 101 acquires the measurement result, which is digital data, from the converter 17 (step S3).
The parameter acquisition unit 102 acquires evaluation parameters by performing an FFT analysis on the measurement result in step S3 (step S4).
For example, the parameter acquisition unit 102 acquires an Irms parameter, an IHD parameter, and a THD parameter, which are evaluation parameters that are not Lpole parameters.
　第１特定部１０３は、ステップＳ４で取得した評価パラメータのうち、側帯波のピークの値でない評価パラメータごとに、側帯波のピークの値を特定する（ステップＳ５）。
　例えば、第１特定部１０３は、Ｌｐｏｌｅパラメータでない評価パラメータであるＩｒｍｓパラメータと、ＩＨＤパラメータと、ＴＨＤパラメータのそれぞれのＬｐｏｌｅパラメータを特定する。 The first specifying unit 103 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the evaluation parameters acquired in step S4 (step S5).
For example, the first specifying unit 103 specifies the Lpole parameters of the Irms parameter, which is an evaluation parameter that is not the Lpole parameter, the IHD parameter, and the THD parameter.
　補正部１０４は、予め設定された補正値に基づいて、ステップＳ５で特定された側帯波のピークの値を補正する（ステップＳ６）。
　例えば、補正部１０４は、ステップＳ５で特定したＩｒｍｓパラメータのＬｐｏｌｅパラメータと、ＩＨＤパラメータのＬｐｏｌｅパラメータと、ＴＨＤパラメータのＬｐｏｌｅパラメータと、補正値とを演算することにより、それぞれのＬｐｏｌｅパラメータを補正する。 The correction unit 104 corrects the peak value of the sideband wave specified in step S5 based on the correction value set in advance (step S6).
For example, the correction unit 104 corrects each Lpole parameter by calculating the Lpole parameter of the Irms parameter specified in step S5, the Lpole parameter of the IHD parameter, the Lpole parameter of the THD parameter, and the correction value.
　第２特定部１０５は、側帯波のピークの値である評価パラメータ及び補正された側帯波のピークの値のうち、最大値を特定する（ステップＳ７）。
　例えば、第２特定部１０５はＬｐｏｌｅパラメータと、補正されたＩｒｍｓパラメータのＬｐｏｌｅパラメータと、補正されたＩＨＤパラメータのＬｐｏｌｅパラメータと、補正されたＴＨＤパラメータのＬｐｏｌｅパラメータのうち、最大値を特定する。 The second specifying unit 105 specifies the maximum value among the evaluation parameter which is the peak value of the sideband wave and the corrected peak value of the sideband wave (step S7).
For example, the second specifying unit 105 specifies the maximum value among the Lpole parameter, the Lpole parameter of the corrected Irms parameter, the Lpole parameter of the corrected IHD parameter, and the Lpole parameter of the corrected THD parameter.
　判定部１０６は、第２特定部１０５により特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定する（ステップＳ８）。
　例えば、判定部１０６は、特定された最大値が閾値以上である場合、電動機１１の異常の予兆があると判定する。他方、判定部１０６は、特定された最大値が閾値以上でない場合、電動機１１の異常の予兆がないと判定する。 The determination unit 106 compares the maximum value specified by the second identification unit 105 with a preset threshold value, and determines whether or not there is a sign of abnormality in the motor 11 (step S8).
For example, the determination unit 106 determines that there is a sign of abnormality in the electric motor 11 when the specified maximum value is equal to or greater than the threshold value. On the other hand, if the specified maximum value is not equal to or higher than the threshold value, the determination unit 106 determines that there is no sign of abnormality in the motor 11.
　出力部１０７は、ステップＳ８で判定された内容及びステップＳ７で特定された最大値を、予兆判定システム１が備える報知装置（図示しない）に出力する（ステップＳ９）。報知装置は、判定された内容及び特定された最大値を、予兆判定システム１のユーザに知らせる。 The output unit 107 outputs the content determined in step S8 and the maximum value specified in step S7 to a notification device (not shown) provided in the sign determination system 1 (step S9). The notifying device informs the user of the sign determination system 1 of the determined content and the specified maximum value.
《作用・効果》
　本開示に係る予兆判定装置１００は、電動機１１を流れる電流の計測結果を取得する計測結果取得部１０１と、計測結果を周波数解析して複数の評価パラメータを取得するパラメータ取得部１０２と、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定する第１特定部１０３と、特定される複数の評価パラメータに相当する値のうち、最大値を特定する第２特定部１０５と、特定された最大値を、予め設定された閾値に照らし合わせて、電動機の異常の予兆があるか否かを判定する判定部１０６を備える。 《Action / Effect》
The sign determination device 100 according to the present disclosure includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result, and a plurality of parameters. For each evaluation parameter, the first specifying unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the first specifying the maximum value among the values corresponding to the plurality of specified evaluation parameters. 2 The specific unit 105 and a determination unit 106 for determining whether or not there is a sign of abnormality of the motor by comparing the specified maximum value with a preset threshold value are provided.
　予兆判定装置１００は、複数のパラメータを所定のパラメータに変換して得られる値の最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value of the value obtained by converting a plurality of parameters into predetermined parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　また、予兆判定装置１００の第１特定部１０３は、複数の評価パラメータのうち、側帯波のピークの値でない評価パラメータごとに、側帯波のピークの値を特定し、第２特定部１０５は、側帯波のピークの値である評価パラメータ及び特定される複数の側帯波のピークの値のうち、最大値を特定する。 Further, the first specific unit 103 of the sign determination device 100 specifies the peak value of the side band wave for each evaluation parameter that is not the peak value of the side band wave among the plurality of evaluation parameters, and the second specific unit 105 determines the value of the peak of the side band wave. The maximum value is specified among the evaluation parameters that are the peak values of the sideband waves and the peak values of a plurality of specified sideband waves.
　予兆判定装置１００は、複数の側帯波のピークの値のうち、最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　また、予兆判定装置１００は、予め設定された補正値に基づいて、特定された側帯波のピークの値を補正する補正部１０４と、を備え、第２特定部１０５は、側帯波のピークの値である評価パラメータ及び補正された側帯波のピークの値のうち、最大値を特定する。 Further, the sign determination device 100 includes a correction unit 104 that corrects the value of the peak of the specified sideband wave based on a preset correction value, and the second specific unit 105 is the peak of the sideband wave. Specify the maximum value among the evaluation parameters that are the values and the peak value of the corrected sideband wave.
　予兆判定装置１００は、複数の補正された値のうち、最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、補正されていない評価パラメータにより予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
　また、予兆判定装置１００の補正値は、予兆判定装置１００が設けられるプラントの運転状況に応じて設定される。
　これにより、予兆判定装置１００のユーザなどは、プラントの運転状況に応じて補正値を設定することができ、より精度高く予兆を判定することができる。 Further, the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
As a result, the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
　また、予兆判定装置１００の補正値は、側帯波のピークの値に係る評価パラメータごとに、異なる値で設定される。
　これにより、予兆判定装置１００のユーザなどは、各評価パラメータに応じて補正値を設定することができ、より精度高く予兆を判定することができる。 Further, the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
As a result, the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
　また、予兆判定装置１００のパラメータ取得部１０２は、計測結果をＦＦＴ解析して複数の評価パラメータを取得する。
　予兆判定装置１００は、ＦＦＴにより取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 Further, the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
The sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　また、予兆判定装置１００は、判定部１０６により判定された内容及び特定された最大値を出力する出力部１０７を備える。
　予兆判定装置１００のユーザは、出力された判定部１０６により判定された内容及び特定された最大値を確認することができる。これにより、予兆判定装置１００のユーザは電動機１１の状態を評価することができる。 Further, the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
The user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
　本開示に係る予兆判定方法は、電動機１１を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定することを含む。 The predictive determination method according to the present disclosure is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in the parameter, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and setting the specified maximum value in advance. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of the threshold value.
　予兆判定方法のユーザは予兆判定方法を用いることで、取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定方法のユーザは、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　本開示に係るプログラムは、コンピュータを、電動機１１を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定することとして実行させる。 The program according to the present disclosure is to acquire the measurement result of the current flowing through the motor 11 of the computer, to acquire a plurality of evaluation parameters by frequency analysis of the measurement result, and to obtain a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specify the value corresponding to one evaluation parameter included in the evaluation parameter, specify the maximum value among the values corresponding to the specified multiple evaluation parameters, and set the specified maximum value in advance. It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of the set threshold value.
　プログラムのユーザはプログラムを実行させることで、取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、プログラムのユーザは、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
〈コンピュータ構成〉
　図４は、少なくとも１つの実施形態に係るコンピュータの構成を示す概略ブロック図である。
　コンピュータ１１００は、プロセッサ１１１０、メインメモリ１１２０、ストレージ１１３０、インタフェース１１４０を備える。
　上述の予兆判定装置１００は、コンピュータ１１００に実装される。そして、上述した各処理部の動作は、プログラムの形式でストレージ１１３０に記憶されている。プロセッサ１１１０は、プログラムをストレージ１１３０から読み出してメインメモリ１１２０に展開し、当該プログラムに従って上記処理を実行する。また、プロセッサ１１１０は、プログラムに従って、上述した各記憶部に対応する記憶領域をメインメモリ１１２０に確保する。 <Computer configuration>
FIG. 4 is a schematic block diagram showing the configuration of a computer according to at least one embodiment.
The computer 1100 includes a processor 1110, a main memory 1120, a storage 1130, and an interface 1140.
The above-mentioned sign determination device 100 is mounted on the computer 1100. The operation of each of the above-mentioned processing units is stored in the storage 1130 in the form of a program. The processor 1110 reads a program from the storage 1130, expands it into the main memory 1120, and executes the above processing according to the program. Further, the processor 1110 secures a storage area corresponding to each of the above-mentioned storage units in the main memory 1120 according to the program.
　プログラムは、コンピュータ１１００に発揮させる機能の一部を実現するためのものであってもよい。例えば、プログラムは、ストレージ１１３０に既に記憶されている他のプログラムとの組み合わせ、または他の装置に実装された他のプログラムとの組み合わせによって機能を発揮させるものであってもよい。なお、他の実施形態においては、コンピュータ１１００は、上記構成に加えて、または上記構成に代えてＰＬＤ（Ｐｒｏｇｒａｍｍａｂｌｅ　Ｌｏｇｉｃ　Ｄｅｖｉｃｅ）などのカスタムＬＳＩ（Ｌａｒｇｅ　Ｓｃａｌｅ　Ｉｎｔｅｇｒａｔｅｄ　Ｃｉｒｃｕｉｔ）を備えてもよい。ＰＬＤの例としては、ＰＡＬ(Ｐｒｏｇｒａｍｍａｂｌｅ　Ａｒｒａｙ　Ｌｏｇｉｃ)、ＧＡＬ(Ｇｅｎｅｒｉｃ　Ａｒｒａｙ　Ｌｏｇｉｃ)、ＣＰＬＤ(Ｃｏｍｐｌｅｘ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｌｏｇｉｃ　Ｄｅｖｉｃｅ)、ＦＰＧＡ（Ｆｉｅｌｄ　Ｐｒｏｇｒａｍｍａｂｌｅ　Ｇａｔｅ　Ａｒｒａｙ）が挙げられる。この場合、プロセッサ１１１０によって実現される機能の一部または全部が当該集積回路によって実現されてよい。 The program may be for realizing a part of the functions exerted by the computer 1100. For example, the program may exert its function in combination with another program already stored in the storage 1130, or in combination with another program mounted on another device. In another embodiment, the computer 1100 may include a custom LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or in place of the above configuration. Examples of PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate). In this case, some or all of the functions realized by the processor 1110 may be realized by the integrated circuit.
　ストレージ１１３０の例としては、磁気ディスク、光磁気ディスク、半導体メモリ等が挙げられる。ストレージ１１３０は、コンピュータ１１００のバスに直接接続された内部メディアであってもよいし、インタフェース１１４０または通信回線を介してコンピュータに接続される外部メディアであってもよい。また、このプログラムが通信回線によってコンピュータ１１００に配信される場合、配信を受けたコンピュータ１１００が当該プログラムをメインメモリ１１２０に展開し、上記処理を実行してもよい。少なくとも１つの実施形態において、ストレージ１１３０は、一時的でない有形の記憶媒体である。 Examples of the storage 1130 include magnetic disks, magneto-optical disks, semiconductor memories, and the like. The storage 1130 may be internal media directly connected to the bus of computer 1100, or external media connected to the computer via interface 1140 or a communication line. When this program is distributed to the computer 1100 via a communication line, the distributed computer 1100 may expand the program to the main memory 1120 and execute the above processing. In at least one embodiment, the storage 1130 is a non-temporary tangible storage medium.
　また、当該プログラムは、前述した機能の一部を実現するためのものであってもよい。さらに、当該プログラムは、前述した機能をストレージ１１３０に既に記憶されている他のプログラムとの組み合わせで実現するもの、いわゆる差分ファイル（差分プログラム）であってもよい。 Further, the program may be for realizing a part of the above-mentioned functions. Further, the program may be a so-called difference file (difference program) that realizes the above-mentioned function in combination with another program already stored in the storage 1130.
〈付記〉
　各実施形態に記載の予兆判定装置１００は、例えば以下のように把握される。 <Additional Notes>
The sign determination device 100 described in each embodiment is grasped as follows, for example.
　（１）本開示に係る予兆判定装置１００は、電動機１１を流れる電流の計測結果を取得する計測結果取得部１０１と、計測結果を周波数解析して複数の評価パラメータを取得するパラメータ取得部１０２と、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定する第１特定部１０３と、特定される複数の評価パラメータに相当する値のうち、最大値を特定する第２特定部１０５と、特定された最大値を、予め設定された閾値に照らし合わせて、電動機の異常の予兆があるか否かを判定する判定部１０６を備える。 (1) The sign determination device 100 according to the present disclosure includes a measurement result acquisition unit 101 that acquires the measurement result of the current flowing through the motor 11, and a parameter acquisition unit 102 that acquires a plurality of evaluation parameters by frequency analysis of the measurement result. For each of the plurality of evaluation parameters, the first specific unit 103 that specifies the value corresponding to one evaluation parameter included in the plurality of evaluation parameters, and the maximum value among the values corresponding to the plurality of specified evaluation parameters are set. A second specific unit 105 to be specified and a determination unit 106 for determining whether or not there is a sign of abnormality of the electric motor by comparing the specified maximum value with a preset threshold value are provided.
　予兆判定装置１００は、取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　（２）また、予兆判定装置１００の第１特定部１０３は、複数の評価パラメータのうち、側帯波のピークの値でない評価パラメータごとに、側帯波のピークの値を特定し、第２特定部１０５は、側帯波のピークの値である評価パラメータ及び特定される複数の側帯波のピークの値のうち、最大値を特定する。 (2) Further, the first specifying unit 103 of the sign determination device 100 specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters, and the second specifying unit 103. Reference numeral 105 specifies the maximum value among the evaluation parameter which is the value of the peak of the sideband wave and the value of the peak of the plurality of specified sideband waves.
　予兆判定装置１００は、複数の側帯波のピークの値のうち、最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum value among the peak values of the plurality of sideband waves. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　（３）また、予兆判定装置１００は、予め設定された補正値に基づいて、特定された側帯波のピークの値を補正する補正部１０４と、を備え、第２特定部１０５は、側帯波のピークの値である評価パラメータ及び補正された側帯波のピークの値のうち、最大値を特定する。 (3) Further, the sign determination device 100 includes a correction unit 104 that corrects the peak value of the specified side band wave based on a preset correction value, and the second specific unit 105 is a side band wave. The maximum value is specified among the evaluation parameters, which are the peak values of, and the peak values of the corrected sideband waves.
　予兆判定装置１００は、複数の補正された値のうち、最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、補正されていない評価パラメータにより予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The sign determination device 100 determines the sign of abnormality of the electric motor 11 based on the maximum value among the plurality of corrected values. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined by the uncorrected evaluation parameter.
　（４）また、予兆判定装置１００の補正値は、予兆判定装置１００が設けられるプラントの運転状況に応じて設定される。
　これにより、予兆判定装置１００のユーザなどは、プラントの運転状況に応じて補正値を設定することができ、より精度高く予兆を判定することができる。 (4) Further, the correction value of the sign determination device 100 is set according to the operating condition of the plant in which the sign determination device 100 is provided.
As a result, the user of the sign determination device 100 or the like can set the correction value according to the operating condition of the plant, and can determine the sign with higher accuracy.
　（５）また、予兆判定装置１００の補正値は、側帯波のピークの値に係る評価パラメータごとに、異なる値で設定される。
　これにより、予兆判定装置１００のユーザなどは、各評価パラメータに応じて補正値を設定することができ、より精度高く予兆を判定することができる。 (5) Further, the correction value of the sign determination device 100 is set to a different value for each evaluation parameter related to the value of the peak of the sideband wave.
As a result, the user of the sign determination device 100 or the like can set the correction value according to each evaluation parameter, and can determine the sign with higher accuracy.
　（６）また、予兆判定装置１００のパラメータ取得部１０２は、計測結果をＦＦＴ解析して複数の評価パラメータを取得する。
　予兆判定装置１００は、ＦＦＴにより取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定装置１００は、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 (6) Further, the parameter acquisition unit 102 of the sign determination device 100 analyzes the measurement result by FFT and acquires a plurality of evaluation parameters.
The sign determination device 100 determines a sign of abnormality of the electric motor 11 based on the maximum values of a plurality of parameters acquired by the FFT. As a result, the sign determination device 100 can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　（７）また、予兆判定装置１００は、判定部１０６により判定された内容及び特定された最大値を出力する出力部１０７を備える。
　予兆判定装置１００のユーザは、出力された判定部１０６により判定された内容及び特定された最大値を確認することができる。これにより、予兆判定装置１００のユーザは電動機１１の状態を評価することができる。 (7) Further, the sign determination device 100 includes an output unit 107 that outputs the content determined by the determination unit 106 and the specified maximum value.
The user of the sign determination device 100 can confirm the content determined by the output determination unit 106 and the specified maximum value. As a result, the user of the sign determination device 100 can evaluate the state of the electric motor 11.
　（８）本開示に係る予兆判定方法は、電動機１１を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定することを含む。 (8) The predictive determination method according to the present disclosure is to acquire the measurement result of the current flowing through the motor 11, frequency-analyze the measurement result to acquire a plurality of evaluation parameters, and to acquire a plurality of evaluation parameters for each of the plurality of evaluation parameters. Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. It includes determining whether or not there is a sign of abnormality in the electric motor 11 in light of a preset threshold value.
　予兆判定方法のユーザは予兆判定方法を用いることで、取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、予兆判定方法のユーザは、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The user of the sign determination method determines the sign of abnormality of the electric motor 11 based on the maximum values of the acquired plurality of parameters by using the sign determination method. As a result, the user of the sign determination method can determine the sign with higher accuracy than when the sign is determined using only a single parameter.
　（９）本開示に係るプログラムは、コンピュータを、電動機１１を流れる電流の計測結果を取得することと、計測結果を周波数解析して複数の評価パラメータを取得することと、複数の評価パラメータごとに、複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、特定される複数の評価パラメータに相当する値のうち、最大値を特定することと、特定された最大値を、予め設定された閾値に照らし合わせて、電動機１１の異常の予兆があるか否かを判定することとして実行させる。 (9) In the program according to the present disclosure, the computer acquires the measurement result of the current flowing through the motor 11, frequency-analyzes the measurement result to acquire a plurality of evaluation parameters, and obtains a plurality of evaluation parameters for each of the plurality of evaluation parameters. , Specifying the value corresponding to one evaluation parameter included in a plurality of evaluation parameters, specifying the maximum value among the values corresponding to the specified multiple evaluation parameters, and specifying the specified maximum value. , It is executed as determining whether or not there is a sign of abnormality of the electric motor 11 in light of a preset threshold value.
　プログラムのユーザはプログラムを実行させることで、取得した複数のパラメータの最大値に基づいて、電動機１１の異常の予兆を判定する。これにより、プログラムのユーザは、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 The user of the program executes the program, and determines the sign of abnormality of the motor 11 based on the maximum values of the acquired plurality of parameters. As a result, the user of the program can determine the omen with higher accuracy than when the omen is determined only by a single parameter.
　上記態様のうち少なくとも１つの態様によれば、複数のパラメータを所定のパラメータに変換して得られる値の最大値に基づいて、電動機の異常の予兆を判定するため、単一のパラメータのみで予兆を判定した場合に比べて、精度高く予兆を判定することができる。 According to at least one of the above embodiments, only a single parameter is used to determine the sign of an abnormality of the motor based on the maximum value obtained by converting a plurality of parameters into predetermined parameters. It is possible to determine the sign with higher accuracy than in the case of determining.
　１　予兆判定システム
　１０　電力源
　１１　電動機
　１２　電線
　１３　負荷
　１４　軸
　１５　軸受
　１６　計測器
　１７　変換器
　１００　予兆判定装置
　１０１　計測結果取得部
　１０２　パラメータ取得部
　１０３　第１特定部
　１０４　補正部
　１０５　第２特定部
　１０６　判定部
　１０７　出力部
　１１００　コンピュータ
　１１１０　プロセッサ
　１１２０　メインメモリ
　１１３０　ストレージ
　１１４０　インタフェース 1 Predictive judgment system 10 Power source 11 Electric wire 12 Electric wire 13 Load 14 Shaft 15 Bearing 16 Measuring instrument 17 Converter 100 Predictive judgment device 101 Measurement result acquisition unit 102 Parameter acquisition unit 103 1st specific unit 104 Correction unit 105 2nd specific unit 106 Judgment unit 107 Output unit 1100 Computer 1110 Processor 1120 Main memory 1130 Storage 1140 Interface

Claims (9)

  1. 　電動機を流れる電流の計測結果を取得する計測結果取得部と、
    　前記計測結果を周波数解析して複数の評価パラメータを取得するパラメータ取得部と、
    　前記複数の評価パラメータごとに、前記複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定する第１特定部と、
    　特定される複数の前記評価パラメータに相当する値のうち、最大値を特定する第２特定部と、
    　特定された前記最大値を、予め設定された閾値に照らし合わせて、前記電動機の異常の予兆があるか否かを判定する判定部と、
    　を備える予兆判定装置。     A measurement result acquisition unit that acquires the measurement result of the current flowing through the motor,
    A parameter acquisition unit that acquires a plurality of evaluation parameters by frequency analysis of the measurement results, and
    A first specific unit that specifies a value corresponding to one evaluation parameter included in the plurality of evaluation parameters for each of the plurality of evaluation parameters.
    A second specific part that specifies the maximum value among the values corresponding to the plurality of specified evaluation parameters, and
    A determination unit that determines whether or not there is a sign of abnormality in the motor by comparing the specified maximum value with a preset threshold value.
    A sign determination device equipped with.
  2. 　前記第１特定部は、複数の評価パラメータのうち、側帯波のピークの値でない前記評価パラメータごとに、側帯波のピークの値を特定し、
    　前記第２特定部は、側帯波のピークの値である前記評価パラメータ及び特定される複数の前記側帯波のピークの値のうち、最大値を特定する
    　請求項１に記載の予兆判定装置。     The first specific unit specifies the peak value of the sideband wave for each evaluation parameter that is not the peak value of the sideband wave among the plurality of evaluation parameters.
    The sign determination device according to claim 1, wherein the second specific unit specifies the maximum value among the evaluation parameter which is the value of the peak of the sideband wave and the value of the peak of the plurality of specified sideband waves.
  3. 　予め設定された補正値に基づいて、特定された前記側帯波のピークの値を補正する補正部と、を備え、
    　前記第２特定部は、側帯波のピークの値である評価パラメータ及び補正された前記側帯波のピークの値のうち、最大値を特定する、
    　請求項２に記載の予兆判定装置。     A correction unit for correcting the value of the specified peak of the sideband wave based on a preset correction value is provided.
    The second specific part specifies the maximum value among the evaluation parameter which is the value of the peak of the sideband wave and the corrected value of the peak of the sideband wave.
    The sign determination device according to claim 2.
  4. 　前記補正値は、前記予兆判定装置が設けられるプラントの運転状況に応じて設定される、
    　請求項３に記載の予兆判定装置。     The correction value is set according to the operating condition of the plant in which the sign determination device is provided.
    The sign determination device according to claim 3.
  5. 　前記補正値は、前記側帯波のピークの値に係る前記評価パラメータごとに、異なる値で設定される、
    　請求項３又は請求項４に記載の予兆判定装置。     The correction value is set to a different value for each of the evaluation parameters related to the peak value of the sideband wave.
    The sign determination device according to claim 3 or 4.
  6. 　前記パラメータ取得部は、前記計測結果をＦＦＴ解析して前記複数の評価パラメータを取得する
    　請求項１から請求項５の何れか１項に記載の予兆判定装置。     The sign determination device according to any one of claims 1 to 5, wherein the parameter acquisition unit acquires the plurality of evaluation parameters by FFT analysis of the measurement result.
  7. 　前記判定部により判定された内容及び特定された前記最大値を出力する出力部と、
    　を備える請求項１から請求項６の何れか１項に記載の予兆判定装置。     An output unit that outputs the content determined by the determination unit and the specified maximum value, and
    The predictive determination device according to any one of claims 1 to 6, comprising the above.
  8. 　電動機を流れる電流の計測結果を取得することと、
    　前記計測結果を周波数解析して複数の評価パラメータを取得することと、
    　前記複数の評価パラメータごとに、前記複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、
    　特定される複数の前記評価パラメータに相当する値のうち、最大値を特定することと、
    　特定された前記最大値を、予め設定された閾値に照らし合わせて、前記電動機の異常の予兆があるか否かを判定することと、
    　を含む予兆判定方法。     Obtaining the measurement result of the current flowing through the motor and
    To acquire multiple evaluation parameters by frequency analysis of the measurement results,
    For each of the plurality of evaluation parameters, the value corresponding to one evaluation parameter included in the plurality of evaluation parameters is specified.
    To specify the maximum value among the values corresponding to the plurality of specified evaluation parameters,
    By comparing the specified maximum value with a preset threshold value, it is determined whether or not there is a sign of abnormality in the motor.
    Predictive judgment method including.
  9. 　コンピュータを、
    　電動機を流れる電流の計測結果を取得することと、
    　前記計測結果を周波数解析して複数の評価パラメータを取得することと、
    　前記複数の評価パラメータごとに、前記複数の評価パラメータに含まれる１つの評価パラメータに相当する値を特定することと、
    　特定される複数の前記評価パラメータに相当する値のうち、最大値を特定することと、
    　特定された前記最大値を、予め設定された閾値に照らし合わせて、前記電動機の異常の予兆があるか否かを判定することと、
    　として実行させるプログラム。     Computer,
    Obtaining the measurement result of the current flowing through the motor and
    To acquire multiple evaluation parameters by frequency analysis of the measurement results,
    For each of the plurality of evaluation parameters, the value corresponding to one evaluation parameter included in the plurality of evaluation parameters is specified.
    To specify the maximum value among the values corresponding to the plurality of specified evaluation parameters,
    By comparing the specified maximum value with a preset threshold value, it is determined whether or not there is a sign of abnormality in the motor.
    A program to be executed as.
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