JP2014222150A - Electric component monitoring apparatus and electric component monitoring method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an electric component monitoring apparatus for diagnosing the cause of an abnormality by determining the abnormality of a monitoring object.SOLUTION: An electric component monitoring apparatus comprises: a detection part 11; a switch 14; an analysis part 12a that acquires component measurement characteristics composed of a frequency distribution curve by frequency-analyzing a detection signal when a current is supplied, and acquires environmental characteristics composed of a frequency distribution curve by frequency-analyzing the detection signal when the current supply is stopped; a storage part 12e that previously stores, as reference characteristics and environmental standard characteristics, the component measurement characteristics and the environmental characteristics when electric components are normal; a first determination part 12b for determining that there is a possibility that an abnormality occurs in the electric components when the component measurement characteristics is changed by a predetermined amount from the reference characteristics; a second determination part 12c for determining that an abnormality has occurred in a monitoring object when a difference between the component measurement characteristics and the environmental characteristics is changed by a predetermined amount with respect to a difference between the reference characteristics and the environmental standard characteristics; and a diagnosis part 12d for estimating the cause of the abnormality when the second determination part determines that the abnormality has occurred in the monitoring object.

Description

  The present invention relates to an electric component monitoring apparatus and an electric component monitoring method.

  Today's electronic devices are often equipped with cooling fans against the background of demand for high functionality and downsizing. However, since the cooling fan is a mechanical component, the failure rate is higher than other components (for example, semiconductor components). The failure occurs due to various causes, and the fan stops and the rotational speed decreases. When the fan stops, for example, the temperature of the semiconductor component may rise and burn out. Therefore, there is a case where an electric component monitoring device that quickly detects the abnormality when the abnormality occurs in the fan may be provided.

  For example, in Japanese Patent Application Laid-Open No. 2010-169430, a second acoustic detection unit that detects an environmental sound outside the housing and outputs a second acoustic signal, and the first acoustic signal that is mounted inside the housing. A device including a plurality of first sound detection units and calculation means is disclosed. Then, the second acoustic signal is subtracted from the first acoustic signal to generate a third acoustic signal based on the sound in the housing not including the environmental sound, and the frequency analysis is performed. On the other hand, an acoustic signal in a normal state of the rotating device in the casing is acquired in advance and subjected to frequency analysis. Therefore, the occurrence of an abnormality is determined by comparing the frequency analysis result obtained in advance with the frequency analysis result obtained during monitoring. In addition, since a plurality of first sound detection units are provided (recorded in stereo), the mechanical component that caused the abnormality is specified.

JP 2010-169430 A

  However, in the apparatus according to Japanese Patent Application Laid-Open No. 2010-169430, since it is necessary to provide a plurality of first acoustic detection units in order to identify a mechanical part that has caused an abnormality, the number of parts increases and the analysis becomes complicated. There was a problem.

  In addition, even if the mechanical part that caused the abnormality can be identified, there is a problem that the cause cannot be diagnosed. For example, when assuming the case of monitoring parts of a personal computer, the apparatus according to Japanese Patent Application Laid-Open No. 2010-169430 can diagnose that the fan is making an abnormal sound. Abnormal sound is generated due to various causes such as abnormality of driving current, abnormality of rotating mechanism, abnormality due to interference with peripheral members, and a response corresponding to the cause of the abnormality is required. However, in the apparatus according to Japanese Patent Application Laid-Open No. 2010-169430, the cause cannot be diagnosed simply by identifying the mechanical component that has caused the abnormality. Therefore, the maintenance of the cause must be performed in maintenance and the like. The convenience is bad.

  Therefore, a main object of the present invention is to provide an electric component monitoring apparatus and an electric component monitoring method for determining an abnormality of a monitoring target and diagnosing the cause of the abnormality.

  In order to solve the above problems, an invention relating to an electric component monitoring apparatus that monitors whether or not an electric component to be monitored is in an abnormal state from sound or vibration generated at the time of operation detects the sound or vibration as a detection signal. While obtaining a component measurement characteristic comprising a frequency distribution curve by performing frequency analysis on a detection unit that outputs, a switch that controls current supply to the electric component, and a detection signal when current supply to the electric component is performed , Frequency analysis of the detection signal when the current supply is stopped to obtain the environmental characteristics consisting of frequency distribution curves, and the component measurement characteristics and environmental characteristics when the monitored electric parts are normal as reference characteristics And a storage unit that is preliminarily stored as environmental reference characteristics, and a first difference that determines that there is a possibility that an abnormality has occurred in the electric parts when the component measurement characteristics have changed by a predetermined amount from the reference characteristics. When there is a possibility of abnormality by the first determination unit that performs the determination and the first abnormality determination, the difference between the component measurement characteristic and the environmental characteristic changes by a predetermined amount with respect to the difference between the reference characteristic and the environmental reference characteristic. If the second determination unit determines that an abnormality has occurred in the monitoring target, the second determination unit that performs a second abnormality determination that determines that an abnormality has occurred in the monitoring target is estimated. And a diagnostic unit.

  Further, an invention relating to an electronic component monitoring method for monitoring whether or not an electric component to be monitored is in an abnormal state from sound or vibration generated during operation includes a detection procedure for detecting sound or vibration and outputting the detection signal as a detection signal. The switch procedure for controlling the current supply to the electric component and the frequency analysis of the detection signal when the electric current is supplied to the electric component to obtain the component measurement characteristic consisting of the frequency distribution curve, and the current supply Analytical procedure to obtain the environmental characteristics consisting of frequency distribution curves by frequency analysis of the detection signal when stopped, component measurement characteristics and environmental characteristics when the monitored electric parts are normal, reference characteristics and environmental reference characteristics And a first abnormality determination for determining that there is a possibility that an abnormality has occurred in the electric component when the component measurement characteristic is changed by a predetermined amount from the reference characteristic. When there is a possibility of abnormality by the first determination procedure and the first abnormality determination, the difference between the component measurement characteristic and the environmental characteristic changes by a predetermined amount with respect to the difference between the reference characteristic and the environmental reference characteristic Includes a second determination procedure for performing a second abnormality determination for determining that an abnormality has occurred in the monitoring target, and a diagnosis for estimating the cause of the abnormality when it is determined by the second determination procedure that an abnormality has occurred in the monitoring target. And a procedure.

  According to the present invention, the occurrence of an abnormality is monitored based on the component characteristics to be monitored in a plurality of stages, and the cause of the abnormality is estimated based on the component characteristics, so that the electric component monitoring with high reliability and high convenience is possible. A device can be provided.

It is a block diagram of the electric component monitoring apparatus concerning 1st Embodiment. It is a flowchart which shows operation | movement of an electric component monitoring apparatus. It is a figure which shows the frequency distribution obtained by carrying out FFT analysis of the detection signal. It is a figure which shows frequency distribution according to abnormality cause. It is a block diagram of the electric component monitoring apparatus concerning 2nd Embodiment. It is a flowchart which shows operation | movement of the electric component monitoring apparatus shown in FIG. It is a block diagram of the electric component monitoring apparatus concerning 3rd Embodiment. It is a flowchart which shows operation | movement of the electric component monitoring apparatus shown in FIG. It is a block diagram of the electric component monitoring apparatus of another structure.

  Embodiments of the present invention will be described below. In this case, the fan is described as an example of the monitoring target, but the present invention is not limited to this, and it is added that the present invention can be applied to monitoring of an electric component that generates abnormal noise according to deterioration of a pump, an engine, a generator, or the like. .

<First Embodiment>
FIG. 1 is a block diagram of an electric component monitoring device 2A according to the present embodiment. In FIG. 1, the fan 3 to be monitored is also shown. The fan 3 is an example of an electric component to be monitored, and is not limited to the fan.

  The electric component monitoring apparatus 2A includes a detection unit 11, an analysis / diagnosis unit 12, and a switch 14 as main components. The analysis / diagnostic unit 12 includes an analysis unit 12a, a first determination unit 12b, a second determination unit 12c, a diagnosis unit 12d, and a storage unit 12e.

  The detection unit 11 detects sound (including vibration) from the fan 3 that is the monitoring target device, and outputs the sound to the analysis / diagnosis unit 12 as a detection signal. As this detection unit, an acoustic sensor such as a microphone can be exemplified.

  The analysis / diagnostic unit 12 determines an abnormality of the fan 3 based on the detection signal. When the analysis / diagnosis unit 12 determines that an abnormality has occurred in the fan 3, the analysis / diagnosis unit 12 estimates the cause of the abnormality and outputs an alarm signal.

  The switch 14 controls current supply to the fan 3 based on the power supply control signal from the second determination unit 12 c of the analysis / diagnosis unit 12.

  The analysis unit 12a performs frequency analysis of the detection signal using an analysis method such as FFT (Fast Fourier Transform) and creates a frequency distribution indicating the relationship between the frequency and the signal level.

  The first determination unit 12b performs a first abnormality determination process for determining that there is a possibility that an abnormality has occurred in the electric component. The second determination unit 12c performs a second abnormality determination process for determining the occurrence of a more detailed abnormality when there is a possibility of abnormality by the first abnormality determination.

  When the second determination unit 12c determines that an abnormality has occurred, the diagnosis unit 12d performs an abnormality estimation process for estimating the cause of the abnormality. The storage unit 12e stores component reference characteristics that are pre-measured component reference frequency distributions, environmental reference characteristics that are environmental reference frequency distributions, first determination values, second determination values, and cause patterns.

  The component reference characteristic is a frequency distribution of sound generated by the electric component when the electric component to be monitored is normal. Similarly, the environmental reference characteristic is a frequency distribution including a frequency distribution of environmental sound when the electric component is normal. The first judgment value and the second judgment value are values serving as judgment criteria for occurrence of abnormality used in the first abnormality judgment process and the second abnormality judgment process, respectively. Furthermore, the cause pattern is a pattern used when estimating the cause of the abnormality when it is determined that an abnormality has occurred, and is associated with the cause of the abnormality.

  The operation of the electric component monitoring apparatus 2A having the above configuration will be described with reference to the flowchart shown in FIG. The electric component monitoring process includes a first abnormality determination process (steps SA1 to SA3), a second abnormality determination process (steps SA4 to SA6), and a diagnosis process (step SA7) for performing an abnormality / diagnosis on the electric component to be monitored. It goes through each process.

  Step SA1: First, the detection unit 11 detects a sound (including vibration) generated from the fan 3 and outputs it to the analysis / diagnostic unit 12 as a detection signal.

  Step SA2: The analysis unit 12a of the analysis / diagnostic unit 12 performs frequency analysis of the detection signal by FFT analysis or the like, and creates a frequency distribution indicating the relationship between the frequency and the signal level as illustrated in FIG. The frequency distribution acquired at the time of diagnosis is described as component measurement characteristics.

  Step SA3: When an abnormality occurs in the fan 3, it often appears as a change in sound, so the shape of the component measurement characteristics changes according to the change in sound. Therefore, the first determination unit 12b obtains a difference (first difference) δ1 (= component measurement characteristic−component reference characteristic) between the component measurement characteristic and the component reference characteristic stored in the storage unit 12e, and this first difference. Comparison between δ1 and a preset first determination value V1 is performed.

  When the first difference δ1≈the first determination value V1, it is determined that there is no abnormality and the process returns to step SA1. On the other hand, if the first difference δ1 <the first determination value V1 or the first difference δ1> the first determination value V1, it is determined that an abnormality has occurred and the process proceeds to step SA4. The first difference δ1≈the first determination value V1 is within a predetermined range (for example, within ± 10% of the first determination value V1) with respect to the first determination value V1, even if it does not completely match. If one difference δ1 is included, it is determined that first difference δ1 = first determination value V1.

  Steps SA4 and SA5: Normally, there are many cases in which neither the electric parts nor the environment changes. In such a case, since the process proceeds only by performing the first abnormality determination process including the environmental state, there is an advantage that the determination process can be easily performed. However, when the environment changes greatly or when an abnormality occurs in the monitored electric component, it is not possible to make an appropriate determination only by determining the first abnormality.

  Therefore, the second determination unit 12c temporarily stops the fan 3 to detect only the environmental sound when the first determination unit 12b determines that an abnormality has occurred. The fan 3 is stopped by outputting a power supply control signal from the second determination unit 12c to the switch 14.

  In a state where the fan 3 is stopped, the analysis unit 12a analyzes the detection signal from the detection unit 11, and acquires a frequency distribution (hereinafter referred to as environmental measurement characteristics).

  The second determination unit 12c obtains a frequency distribution (component characteristic) of only the monitored electric component by correcting the component measurement characteristic using the environmental measurement characteristic. Examples of the correction method include these differences (part characteristic = part measurement characteristic−environment measurement characteristic).

  Step SA6: The component standard characteristic and the environmental standard characteristic are stored in the storage unit 12e. Therefore, the second determination unit 12c calculates the frequency distribution of only normal electric parts obtained by subtracting the environmental reference characteristic from the component reference characteristic as the component reference characteristic (= part reference characteristic−environment reference characteristic). Thereafter, the difference between the component reference characteristic and the component characteristic is obtained as a second difference δ2 (= component characteristic−component reference characteristic). Then, the second difference δ2 is compared with a second determination value V2 set in advance.

  When the second difference δ2≈the second determination value V2, it is determined that no abnormality has occurred in the monitored electric component, and the process returns to step SA1. That is, in this case, it means that a great change has occurred in the environment.

  On the other hand, if the second difference δ2 <the second determination value V2 or the second difference δ2> the second determination value V2, it is determined that an abnormality has occurred in the electric component, and the process proceeds to step SA7. It should be noted that the second difference δ2≈the second judgment value V2 does not completely coincide with the second judgment value V2 within a predetermined range (for example, within ± 20% of the second judgment value V2). If 2 difference δ2 is included, it is determined that second difference δ2 = second determination value V2.

  Thus, even if the occurrence of an abnormality is determined by the comparison including the environmental sound (step SA3), there may be no abnormality in the monitored component. This means that some abnormality may have occurred around the monitored component that is the source of the environmental sound. In this embodiment, since attention is paid to the monitoring target component, the process returns to step SA1, but an alarm is issued in order to inform the user that there may be an abnormality in the environment. May be.

  Step SA6; When the second determination unit 12c determines that an abnormality has occurred in the monitoring target component, the diagnosis unit 12d estimates the abnormal part. That is, the diagnosis unit 12d obtains a part characteristic change pattern with respect to the reference part characteristic, and collates with the cause pattern stored in the storage unit 12e. Then, the closest cause pattern is obtained and estimated as the cause of abnormality.

  This estimation process will be described with reference to the component reference characteristics (solid line curve C1) and the component characteristics (dotted line, alternate long and short dashed lines C2 to C6) illustrated in FIG. Each curve, pattern, and cause are examples.

  The level value of the curve C2 is relatively small with respect to the curve C1 and is broad (pattern A). Such a curve is observed when an air flow path such as a fan filter is clogged. The curve C3 shows a peak at a frequency smaller than the peak frequency of the curve C1, and the level value is relatively small (pattern B). Such a curve is observed when the rotational speed of the fan 3 decreases. The curve C4 shows a peak at a frequency higher than the peak frequency of the curve C1, and the level value is relatively large (pattern C). Such a curve is observed when the rotation speed of the fan 3 increases. The curve C5 has a shape having two peaks with a small peak occurring on the low frequency side of the curve C1 (pattern D). Such a curve is observed when the rotation axis of the fan 3 is eccentric. The curve C6 has a shape having two peaks in which a small peak is generated on the high frequency side of the curve C1 (pattern E). Such a curve is observed when the bearing of the fan 3 is damaged. In FIG. 4, pattern D and pattern E have two peaks, but two or more peaks may occur.

  The diagnosis unit 12d determines the pattern of the change in the component characteristic with respect to the component reference characteristic, accesses the storage unit 12e, and collates with the cause pattern. As a result, when a cause pattern similar to the pattern B is found, the cause stored in association with the cause pattern is read. For example, in the case of pattern A, “cause of fan filter clogging” is associated with the cause pattern. Therefore, the diagnosis unit 12d outputs a message for confirming and cleaning the fan filter together with an alarm signal, and returns to Step SA1. The alarm signal is displayed as character information on an external display device or notified to the user by sound or light. Accordingly, it is possible to take appropriate measures before the fan 3 fails.

  As described above, by controlling the supply current, the component characteristics of only the monitored electric component can be acquired, so that the reliability of abnormality monitoring is improved. In addition, since the abnormality monitoring of the monitored electric component is performed through a plurality of determination processes, the determination can be performed quickly and the determination accuracy can be improved as compared with a case where a series of determination processes are always performed. Furthermore, since the cause of the abnormality is estimated, the user can take an appropriate action.

Second Embodiment
Next, a second embodiment of the present invention will be described. In addition, about the same structure as 1st Embodiment, description is abbreviate | omitted suitably using the same code | symbol.

  FIG. 5 is a block diagram of the electric component monitoring apparatus 2B according to the present embodiment. The electric component monitoring device 2 </ b> B includes a current measurement unit 13 and a clock unit 15 that measure a current supplied to the fan 3.

  He stated that there are various causes of abnormalities. The fan 3 is a device that converts electric current into rotational motion and generates wind by the rotational motion. Therefore, in the cause estimation, whether or not the current value is appropriate is an important index in the cause estimation. Therefore, in the present embodiment, when the cause is estimated, the current supplied to the fan 3 is measured.

  Such a monitoring procedure will be described with reference to the flowchart shown in FIG. Steps SB1 to SB6 in FIG. 6 are the same processes as steps SA1 to SA6 in FIG.

  Steps SB6 and SB7: As shown in FIG. 6, in step SB6, when the second determination unit 12c determines that an abnormality has occurred in the electric component, the diagnosis unit 12d issues a measurement command to the current measurement unit 13. Output. The current measuring unit 13 receives the measurement command and measures the current supplied to the fan 3.

  Step SB8: The diagnosis unit 12d adds the measurement result of the current value to the shape determination of the component reference characteristics. For example, when the pattern E of the curve C shown in FIG. 4 is obtained, it is considered that the rotational speed of the fan 3 has decreased, but the cause of the decrease cannot be determined. Possible causes of the decrease in the number of rotations include a case where the friction of the rotation shaft increases or a case where the supply current decreases. At this time, if the measured current value is a specified value, there is a risk of wear of the rotating shaft. On the other hand, when the current value deviates from the specified value, there is a risk of deterioration of the power supply characteristics.

  Thus, by measuring the current value, diagnosis and monitoring with high accuracy and high reliability can be performed.

  Further, the present embodiment is not limited to such a configuration. For example, if the operating time from when the fan 3 is installed by the clock unit 15 is measured, it is possible to know the transition of the amount of change in the component characteristics with respect to the operating time. The life of the fan 3 can be predicted. Therefore, the reliability and convenience of monitoring diagnosis are improved.

<Third Embodiment>
Next, a third embodiment of the present invention will be described. In addition, about the same structure as 2nd Embodiment, description is abbreviate | omitted suitably using the same code | symbol.

  In the above description, the number of fans is one, but a plurality of fans may be monitored by one electric component monitoring device. Of course, since the monitoring target is an example, a plurality of types of electric parts such as a fan and a hard disk may be used.

  An example of such a configuration is an electric component monitoring device 2C shown in FIG. The electric component monitoring device 2C illustrated in FIG. 7 includes a detection unit 21 (21a to 21n) that detects sounds of a plurality of fans 23 (23a to 23n), an analysis diagnosis unit 12, and a switching unit 24. The switching unit 24 controls the connection between the detection unit 21 that sequentially captures detection signals and the analysis / diagnostic unit 12, and also controls the current supply to the fan 23.

  The electric component monitoring device 2C having such a configuration operates in a procedure as shown in FIG. Note that steps SC2 to SC9 in FIG. 8 are the same as steps SA1 to SA8 in FIG. Therefore, a different procedure is step SC1 regarding the operation of the switching unit 24 that selects the fan 23 to be monitored.

  Step SC1: The switching unit 24 controls the current supplied to each fan 23 based on the monitoring target switching command from the second determination unit 12c, and outputs the detection unit 21 provided corresponding to the fan 23 ( Detection control of detection signal). For example, when environmental characteristics are acquired when monitoring / diagnosis of the fan 23a, the current supply to the other fans 23b to 23n is stopped, and only the detection signal of the detection unit 21a is captured. Then, while sequentially switching the fans 23 to be monitored, abnormality determination and diagnosis are sequentially performed on all the fans 23.

  At this time, the current supply to each fan 23 and the output of the detection unit 21 are sequentially switched, and the component reference characteristic and the environmental reference characteristic of each fan 23 are acquired in advance. Thereby, abnormality determination and diagnosis of the plurality of fans 23 can be performed by one electric component monitoring device 2C.

  Although FIG. 7 shows a case where a plurality of detection units 21 are provided, the number of detection units 21 may be one as in the electric component monitoring device 2D shown in FIG. Further, a current measuring unit 13 for measuring the current supplied to each fan 23 may be provided.

  In such a configuration, the component reference characteristic and the environmental reference characteristic are acquired in advance by detecting sound with the detection unit 21 while switching the current supply to each fan 23 to be monitored, and stored in the storage unit 12e. At the time of monitoring, the detection unit 21 detects and acquires sound while switching the current supply to each fan 23 to be monitored, and acquires component characteristics and environmental characteristics. Monitoring / diagnosis of monitoring targets can be performed. Therefore, the number of parts can be reduced.

2A to 2D Electric component monitoring device 3, 23 (23b to 23n) Fan 11, 21 (21a to 23n) Detection unit 12 Analysis diagnostic unit 12b First determination unit 12c Second determination unit 12a Analysis unit 12d Diagnosis unit 12e Storage unit 13 Current measurement unit 14 Switch 15 Clock unit 24 Switching unit

Claims (10)

An electric component monitoring device that monitors whether or not an electric component to be monitored is in an abnormal state from sound or vibration generated during operation,
A detection unit that detects the sound or vibration and outputs a detection signal;
A switch for controlling current supply to the electric component;
Frequency analysis of the detection signal when current supply to the electric component is performed to obtain a component measurement characteristic consisting of a frequency distribution curve, and frequency analysis of the detection signal when current supply is stopped And an analysis unit for acquiring environmental characteristics consisting of frequency distribution curves,
A storage unit for preliminarily storing the component measurement characteristic and the environmental characteristic when the electric component to be monitored is normal as a reference characteristic and an environmental reference characteristic;
A first determination unit that performs a first abnormality determination to determine that an abnormality may have occurred in the electric component when the component measurement characteristic has changed by a predetermined amount from the reference characteristic;
Monitoring is performed when a difference between the component measurement characteristic and the environmental characteristic is changed by a predetermined amount with respect to the difference between the reference characteristic and the environmental reference characteristic when there is a possibility of abnormality by the first abnormality determination. A second determination unit for performing a second abnormality determination for determining that an abnormality has occurred in the object;
An electrical component monitoring apparatus comprising: a diagnosis unit that estimates a cause of an abnormality when the second determination unit determines that an abnormality has occurred in a monitoring target. The electric component monitoring apparatus according to claim 1,
The storage unit stores a change pattern of the frequency distribution shape of the component measurement characteristic with respect to the frequency distribution shape of the reference characteristic according to a cause of abnormality of the electric component,
The diagnostic unit accesses the storage unit when the second diagnostic unit determines that an abnormality has occurred, and collates the frequency distribution shape change pattern of the component measurement characteristic with respect to the reference characteristic at the time of diagnosis. An electrical component monitoring apparatus characterized by performing abnormality diagnosis to estimate the cause of abnormality. The electric component monitoring device according to claim 2,
A current measuring instrument for measuring a current value supplied to the electric component;
The diagnosis unit, when diagnosing the cause of the abnormality, causes the current measuring instrument to measure a current value, and compares the measured current value with a preset value set for the electric component. And the comparison result is taken into the abnormality diagnosis. The electric component monitoring apparatus according to any one of claims 1 to 3,
An electric component monitoring apparatus comprising: a plurality of electric parts to be monitored; and a switching unit that controls current supply to each electric part from one power source. The electric component monitoring device according to any one of claims 1 to 4,
A clock unit for measuring the operating time of the electric component;
The diagnostic part estimates the lifetime of the electric component that is a monitoring target from the operating time and the transition of the change amount of the component measurement characteristic with respect to the reference characteristic. An electronic component monitoring method for monitoring whether an electric component to be monitored is in an abnormal state from sound or vibration generated during operation,
A detection procedure for detecting the sound or vibration and outputting it as a detection signal;
A switch procedure for controlling current supply to the electric component;
Frequency analysis of the detection signal when current supply to the electric component is performed to obtain a component measurement characteristic consisting of a frequency distribution curve, and frequency analysis of the detection signal when current supply is stopped Analysis procedure to obtain environmental characteristics consisting of frequency distribution curves,
A storage procedure for preliminarily storing the component measurement characteristic and the environmental characteristic when the electric component to be monitored is normal as a reference characteristic and an environmental reference characteristic;
A first determination procedure for performing a first abnormality determination for determining that an abnormality may have occurred in the electric component when the component measurement characteristic has changed by a predetermined amount from the reference characteristic;
Monitoring is performed when a difference between the component measurement characteristic and the environmental characteristic is changed by a predetermined amount with respect to the difference between the reference characteristic and the environmental reference characteristic when there is a possibility of abnormality by the first abnormality determination. A second determination procedure for performing a second abnormality determination for determining that an abnormality has occurred in the object;
And a diagnostic procedure for estimating the cause of the abnormality when it is determined by the second determination procedure that an abnormality has occurred in the monitoring target. The electronic component monitoring method according to claim 6,
The storing procedure includes a procedure of storing a change pattern of the frequency distribution shape of the component measurement characteristic with respect to the frequency distribution shape of the reference characteristic according to a cause of abnormality of the electric component,
When the diagnosis procedure is determined to be abnormal by the second diagnosis procedure, the storage procedure is accessed, and the frequency distribution shape change pattern of the component measurement characteristic is compared with the reference characteristic at the time of diagnosis. The electric component monitoring method characterized by including the procedure of performing the abnormality diagnosis which estimates an abnormality cause by this. The electronic component monitoring method according to claim 7,
A current measuring instrument for measuring a current value supplied to the electric component;
The diagnosis procedure, when diagnosing the cause of the abnormality, causes the current measuring instrument to measure a current value, and compares the measured current value with a preset value set for the electric component. And a procedure for taking the comparison result into the abnormality diagnosis. The electronic component monitoring method according to any one of claims 6 to 8,
An electric component monitoring method comprising a switching procedure in which a plurality of electric components to be monitored are provided and a current supply from one power source to each electric component is controlled. The electronic component monitoring method according to any one of claims 6 to 9,
Including a timing procedure for measuring the operating time of the electric component,
The diagnostic procedure includes a procedure for estimating a lifetime of the electric component to be monitored from the operating time and a transition of a change amount of the component measurement characteristic with respect to the reference characteristic.

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