JP7446249B2 - Monitoring and diagnostic equipment for electromagnetic equipment - Google Patents

Description

The present invention relates to an apparatus for monitoring and diagnosing electromagnetic equipment.

An electromagnetic device is a device that includes a winding that constitutes a coil body, an iron core, and a casing that houses them. Examples of electromagnetic equipment may include transformers, motors, and generators.

In a transformer, an iron core and a winding are immersed in an insulating medium such as insulating oil and housed inside a tank that is a housing. In general, in a three-phase AC transformer that is energized at the commercial frequency and operated steadily, the core and windings of each phase are vibrated by electromagnetic force with a frequency twice the commercial frequency and its harmonic components. These vibrations are transmitted to the tank either directly or through an insulating medium, causing the tank to vibrate.

A monitoring and diagnosing device for electromagnetic equipment such as a transformer is a device that uses sensors attached to the electromagnetic equipment to monitor and diagnose the internal state of the electromagnetic equipment, that is, abnormalities and deterioration states of the iron core and windings. Examples of conventional transformer monitoring and diagnosis devices are described in Patent Documents 1 and 2.

Patent Document 1 discloses a vibration detector that is attached to a transformer and has detection sensitivity for vibrations generated by the transformer ranging from the low frequency range to the audible sound range (1 Hz to 20 kHz), and a vibration detector that is attached to a transformer and has a detection sensitivity for vibrations generated by the transformer ranging from the low frequency range to the audible sound range (1 Hz to 20 kHz), and A transformer that is equipped with an analyzer that calculates the natural vibration based on the mechanical vibration obtained by hitting the top plate of the tank with a hammer while the equipment is in operation, and a calculation means that calculates the data obtained from the analyzer. A diagnostic device for the device is described.

Patent Document 2 discloses that a plurality of acceleration sensors are installed in the tank of a transformer, and when the transformer is in operation, based on information obtained from the acceleration sensors, vibrations of the tank are time-divided so that they can be seen with the naked eye. From this displayed content, the characteristic vibrations of the vibration mode of the winding or the vibration mode of the iron core are picked up, and the vibration response of the transformer in operation is determined based on the change in the natural frequency. A transformer diagnostic method for analyzing the

JP2018-096706A JP2020-94938A

In electromagnetic equipment such as transformers, the internal structural condition is mainly monitored and diagnosed to determine the condition of the core and wiring housed inside, that is, the presence or absence of an abnormality or deterioration of the core or wiring. Examples of abnormalities in the iron core or wiring include misalignment or deformation of the winding, a decrease in the tightening pressure of the winding, and misalignment or deformation of the wire in the bushing. An example of a deterioration state is deterioration of an insulator installed in an iron core or a winding.

The transformer diagnostic device described in Patent Document 1 analyzes the condition of the transformer using the natural frequency determined based on mechanical vibration. It is necessary to hit the tank with the device. Therefore, a step of preparing an active device and a step of hitting the tank with the prepared active device are required, and these steps require labor, time, and other costs, and are not easy to carry out.

The transformer diagnostic method described in Patent Document 2 analyzes the vibration response of the transformer in an operating state. In a transformer, the vibration response changes not only when an abnormality or deterioration occurs internally but also when operating conditions (for example, load current) change. Therefore, the transformer diagnostic method described in Patent Document 2 determines whether a change in vibration response is due to an abnormality or deterioration inside the transformer, or a change in operating conditions (load current). It may be difficult to diagnose the transformer accurately.

An object of the present invention is to provide a monitoring and diagnostic device that can monitor and diagnose the internal structural state of an electromagnetic device in an operating state, regardless of differences in operating conditions such as the magnitude of load current.

The monitoring and diagnosis device for electromagnetic equipment according to the present invention is installed in an electromagnetic equipment that includes a winding that constitutes a coil body, an iron core, and a casing that accommodates the winding and the iron core. The present invention includes one or more vibration sensors that measure a magnetic field, one or more magnetic field sensors that are included in the housing and that measure a magnetic field, and a diagnostic device. The diagnostic device determines a characteristic amount of vibration data measured by the vibration sensor and a characteristic amount of magnetic field data measured by the magnetic field sensor while the electromagnetic device is in operation, and determines the characteristic amount of the electromagnetic device from the magnetic field data. Find the load current. The diagnostic device diagnoses the electromagnetic device by comparing the relationship between the feature amount of the vibration data and the feature amount of the magnetic field data with the electromagnetic device in a normal state when the load current is the same. Monitor and diagnose.

According to the present invention, it is possible to provide a monitoring and diagnostic device that can monitor and diagnose the internal structural state of an electromagnetic device in operation, regardless of differences in operating conditions such as the magnitude of load current.

1 is a diagram showing the configuration of a monitoring and diagnosing device for electromagnetic equipment according to an embodiment of the present invention, and is a front view of a transformer in which the monitoring and diagnosing device according to this embodiment is installed. FIG. 1 is a diagram showing the configuration of a monitoring and diagnosing device for electromagnetic equipment according to an embodiment of the present invention, and is a plan view of a transformer in which the monitoring and diagnosing device according to this embodiment is installed. 3 is a diagram showing a low-pressure bushing and a magnetic field sensor installed near the low-pressure bushing, and is a cross-sectional view taken along line AA shown in FIG. 2. FIG.

The monitoring and diagnosis device according to the present invention monitors and diagnoses an electromagnetic device that includes a winding that constitutes a coil body, an iron core, and a casing that houses them. Examples of electromagnetic equipment monitored and diagnosed by the monitoring and diagnosis device according to the present invention may include transformers, motors, generators, and the like. In the following embodiments, a monitoring and diagnosis device for monitoring and diagnosing a transformer will be described as an example.

A monitoring diagnostic device according to the present invention includes a diagnostic device, a vibration sensor, and a magnetic field sensor provided in a housing of an electromagnetic device. The diagnostic device calculates the feature amount of vibration data measured by the vibration sensor and the feature amount of the magnetic field data measured by the magnetic field sensor when the electromagnetic device is in operation with the winding energized, and diagnoses the electromagnetic device from the magnetic field data. Find the load current. The diagnostic device monitors and diagnoses the electromagnetic device by comparing the relationship between the feature amount of the vibration data and the feature amount of the magnetic field data with that of the electromagnetic device in a normal state when the load current is the same.

DESCRIPTION OF THE PREFERRED EMBODIMENTS An electromagnetic equipment monitoring and diagnosis apparatus according to an embodiment of the present invention will be described below with reference to the drawings. In the drawings used in this specification, the same or corresponding components are given the same reference numerals, and repeated explanations of these components may be omitted.

FIGS. 1 and 2 are diagrams showing the configuration of an electromagnetic equipment monitoring and diagnosis apparatus according to this embodiment. In this embodiment, as described above, an example of a monitoring and diagnosing device that monitors and diagnoses a transformer as an electromagnetic device will be described.

FIG. 1 is a front view of a transformer in which a monitoring and diagnosis device according to this embodiment is installed. FIG. 2 is a plan view of this transformer. The monitoring diagnostic device according to this embodiment includes vibration sensors 1, 2, 3, 4, 5, 6, 7, 8, 9, magnetic field sensors 10, 11, 12, 13, 14, 15, and a diagnostic device 60. is installed in the transformer 1000, which is an electromagnetic device, and monitors and diagnoses the internal state of the transformer 1000. The monitoring and diagnostic device includes one or more vibration sensors and one or more magnetic field sensors. 1 and 2 show an example in which the monitoring and diagnostic device includes nine vibration sensors 1 to 9 and six magnetic field sensors 10 to 15. In FIG. 2, illustration of the diagnostic device 60 is omitted. The transformer 1000 is assumed to be a three-phase AC transformer, for example.

The transformer 1000 includes a tank 400 that is a casing, and an iron core and windings 100, 200, and 300 that are immersed in an insulating medium such as insulating oil and installed inside the tank 400. The iron core includes main legs 31, 32, 33, an upper yoke 36a, and a lower yoke (not shown). The windings 100, 200, and 300 constitute a coil body, and are wound around the main legs 31, 32, and 33, respectively. The iron core and the windings 100, 200, 300 are fixed to each other by an upper fastener 40a and a lower fastener 40b, and are installed at the bottom of the tank 400 via support members 51, 52, 53. The upper fastener 40a and the lower fastener 40b are connected by bolts (not shown).

High pressure bushings 142, 242, 342 are arranged on the upper surface of tank 400. The connection ends 141, 241, 341 of the high voltage bushings 142, 242, 342 are connected to one end of the primary winding of each winding 100, 200, 300, respectively.

Low pressure bushings 192, 292, 392 are arranged on the right side of tank 400. The connection ends 191, 291, 391 of each of the low pressure bushings 192, 292, 392 are connected to one end of the secondary winding of each winding 100, 200, 300, respectively.

As shown in FIGS. 1 and 2, the monitoring and diagnosis device according to this embodiment includes a vibration sensor installed at a position facing the windings 100, 200, and 300 of the transformer 1000 on the front surface of the tank 400 of the transformer 1000. 1, 2, 3, 4, 5, 6, 7, 8, and 9. The vibration sensors 1 to 9 are sensors that measure vibrations of the transformer 1000 (specifically, the tank 400) while the transformer 1000 is in operation, and may be, for example, acceleration sensors. The vibration sensors 1 to 9 may be installed at any position on the front, back, side, top, or bottom of the tank 400; It is preferable to install it as close to the windings 100, 200, and 300 as possible so that mechanical vibrations generated by force can be easily detected. For example, it is preferable that the vibration sensors 1 to 9 be installed on the front surface of the tank 400 at positions close to the central axes of the windings 100, 200, and 300.

Further, the monitoring and diagnosis device according to the present embodiment includes magnetic field sensors 10, 11, and 12 at positions facing the windings 100, 200, and 300 on the front surface of the tank 400 of the transformer 1000, respectively. Magnetic field sensors 13, 14, and 15 are provided near the low-pressure bushings 192, 292, and 392 on the surface, respectively. Magnetic field sensors 10, 11, and 12 measure magnetic fields generated by currents flowing through windings 100, 200, and 300, respectively, during operation of transformer 1000. Magnetic field sensors 13, 14, 15 measure the magnetic field generated by the current flowing in the wires in low voltage bushings 192, 292, 392, respectively, during operation of transformer 1000. By measuring the magnetic field, the magnetic field sensors 10 to 15 can detect the current flowing in the windings 100, 200, and 300, and the current flowing in the electric wires in the low-voltage bushings 192, 292, and 392, respectively.

The magnetic field sensors 13, 14, 15 may be installed near the high pressure bushings 142, 242, 342 instead of near the low pressure bushings 192, 292, 392. However, in the low voltage bushings 192, 292, 392, the current flowing through the internal wires is larger than the current flowing through the internal wires of the high voltage bushings 142, 242, 342, so the magnetic field sensors 13, 14, 15 , 292, and 392.

The vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 each include a communication unit capable of wired or wireless communication with the diagnostic device 60.

The diagnostic device 60 can be configured with a computer, for example, and includes a communication device 61. The communication device 61 is capable of wired or wireless communication with the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15. The diagnostic device 60 is connected to the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 via a communication device 61, and receives data from these sensors 1 to 15 and sends signals to these sensors 1 to 15. or

If the diagnostic device 60 is capable of communicating with the sensors 1 to 15, it is possible to monitor and diagnose the transformer 1000 even if the diagnostic device 60 is installed in a remote location far away from the transformer 1000. Therefore, a worker does not have to work on the transformer 1000 located far from the diagnostic device 60, and personnel costs can be reduced.

Diagnosis device 60 inputs vibration data measured by vibration sensors 1 to 9 while transformer 1000 is in operation, and obtains vibration data (waveform) of transformer 1000 (tank 400). The diagnostic device 60 also inputs magnetic field data measured by the magnetic field sensors 10 to 15, and from this magnetic field data, generates data (waveforms) of time changes in the current flowing through the windings 100, 200, and 300, and the low-pressure bushing 192. , 292, and 392, data (waveforms) of the time change of the current flowing through the wires are obtained.

Furthermore, the diagnostic device 60 saves the measurement data of the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 and the data corresponding to this measurement data regarding the transformer 1000 in a normal state as normal data. There is. The data corresponding to the measured data also includes data obtained from the measured data of these sensors 1 to 15. This normal data can be obtained in advance by measuring the transformer 1000 in a normal state, such as the transformer 1000 before shipment, the transformer 1000 just after installation, and the transformer 1000 just before or after starting operation. Obtainable. Furthermore, data obtained by learning the normal state using machine learning or the like may be used as the data during the normal state.

In the monitoring and diagnosis device according to the present embodiment, in the transformer 1000 in the operating state where the windings 100, 200, and 300 are energized, the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 measure vibration and magnetic field (current), respectively. However, the diagnostic device 60 diagnoses the internal structural condition of the transformer 1000 using the measurement data of the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 and normal data. The internal structural condition of the transformer 1000 mainly refers to the presence or absence of an abnormality or deterioration of the iron core or wiring. Abnormalities in the core or wiring include, for example, misalignment or deformation of the windings 100, 200, and 300, a decrease in the tightening pressure of the windings 100, 200, and 300, and wires in the low-pressure bushings 192, 292, and 392. This includes misalignment and deformation. The deterioration state includes, for example, deterioration of the insulators installed in the iron core and the windings 100, 200, and 300.

Below, a method for monitoring and diagnosing the internal structural condition of the transformer 1000 by the monitoring and diagnosis device according to the present embodiment will be described.

When the transformer 1000 is in operation, the vibration sensors 1 to 9 installed on the front surface of the tank 400 measure vibrations and obtain vibration data. The magnetic field sensors 10 to 12 and the magnetic field sensors 13 to 15 installed near the low pressure bushings 192, 292, and 392 measure the magnetic field and obtain magnetic field data. The vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 may perform measurements continuously, but they may also perform measurements only for a predetermined time at arbitrary time intervals instead of continuously. When the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 perform measurements at arbitrary time intervals, the diagnostic device 60 transmits a measurement trigger indicating the start of measurement to the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15. It is desirable that the plurality of sensors 1 to 15 that have received the measurement trigger start measurement from the same time. Furthermore, it is more desirable that all sensors 1 to 15 receive the measurement trigger and start measurement from the same time.

The vibration sensors 1 to 9 and the magnetic field sensors 10 to 15 transmit measured data to the diagnostic device 60. The diagnostic device 60 receives vibration data measured by the vibration sensors 1-9 from the vibration sensors 1-9, and receives magnetic field data measured by the magnetic field sensors 10-15 from the magnetic field sensors 10-15.

The diagnostic device 60 starts measurement from the same time as the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15, so that from the time waveforms of the data measured by the vibration sensors 1 to 9 and the magnetic field sensors 10 to 15, It is possible to calculate and obtain the phase correlation between the respective waveforms. When the diagnostic device 60 synchronizes the measurement start times and acquires a plurality of waveform data, it can also acquire information on the phase difference between the waveform data of the reference sensor and the waveform data of other sensors. . In the monitoring and diagnosis device according to the present embodiment, by using the change in this phase difference for diagnosis, the diagnosis can be made more easily than in the case where the amplitude of each frequency component is simply determined by FFT analysis and the inside of the transformer 1000 is diagnosed based on the change. Accuracy can be improved.

The magnetic field data measured by the magnetic field sensors 10 - 15 is due to stray magnetic fields resulting from the current flowing in the windings 100 , 200 , 300 and the current flowing in the wires in the low voltage bushings 192 , 292 , 392 . Therefore, the waveforms of the magnetic field data measured by the magnetic field sensors 10 to 15 have a similar relationship to the waveforms of the currents flowing through the wires in the windings 100, 200, 300 and the low-voltage bushings 192, 292, 392. Furthermore, the maximum value of the waveform of the magnetic field data measured by the magnetic field sensors 10 to 15 is proportional to the magnitude of the current flowing through the windings 100, 200, 300 and the electric wires in the low voltage bushings 192, 292, 392.

Therefore, the diagnostic device 60 can receive the magnetic field data measured by the magnetic field sensors 10 to 15 and relatively estimate the magnitude of the load current of the transformer 1000 from this magnetic field data. Specifically, if the relationship (proportional relationship) between the load current in the operating state and the magnetic field data measured by the magnetic field sensors 10 to 15 is determined in advance for the transformer 1000 in a normal state such as before shipping, operation can be started. Later, in the transformer 1000 in the operating state, the magnitude of the load current can be determined from the magnetic field data. The diagnostic device 60 stores the relationship between the load current in the operating state and the magnetic field data measured by the magnetic field sensors 10 to 15 in the transformer 1000 in the normal state, and stores the relationship between the load current in the operating state and the magnetic field data measured by the magnetic field sensors 10 to 15 in the transformer 1000 in the operating state after the start of operation. , the magnitude of the load current can be calculated from the magnetic field data.

The monitoring and diagnosis device according to the present embodiment determines the load current of the transformer 1000 from the magnetic field data measured by the magnetic field sensors 10 to 15, and uses the magnitude of the load current and the magnetic field data to determine the internal structure of the transformer 1000. The condition (for example, the presence or absence of wiring abnormalities, such as misalignment or deformation of the windings 100, 200, 300 and misalignment or deformation of the electric wires in the low voltage bushings 192, 292, 392) is monitored and diagnosed.

Below, a method for monitoring and diagnosing the internal structural condition of the transformer 1000 by the monitoring and diagnosis device according to the present embodiment will be explained using FIG. 3. In the following description, as an example, the monitoring and diagnosis device according to the present embodiment determines the internal structural state of the transformer 1000 using magnetic field data measured by the magnetic field sensor 13 installed near the low-voltage bushing 192. A case of monitoring and diagnosing the presence or absence of positional deviation or deformation of the electric wire in the low-voltage bushing 192 will be described.

FIG. 3 is a diagram showing the low-pressure bushing 192 and the magnetic field sensor 13 installed near the low-pressure bushing 192, and is a cross-sectional view taken along line AA shown in FIG. 2.

An electric wire W1a is disposed inside the low-voltage bushing 192, and a current flows through the electric wire W1a when the transformer 1000 is in operation. A vector from the electric wire W1a to the magnetic field sensor 13 is defined as D1 on a plane (cross section along line AA in FIG. 2) whose normal vector is the direction of the current flowing through the electric wire W1a. Vector D1 can be decomposed into two mutually orthogonal vectors X1 and Y1. The directions of vectors X1 and Y1 (X1 direction and Y1 direction) can be arbitrarily determined as long as they are orthogonal to each other. The magnetic field generated from the current flowing through the electric wire W1a can be decomposed into a component in the X1 direction and a component in the Y1 direction.

The magnetic field sensor 13 is a sensor that can obtain a magnetic field having a component in the X1 direction and a magnetic field having a component in the Y1 direction. For example, the magnetic field sensor 13 may be configured with a sensor that can measure magnetic fields in two or more directions, or may be configured with a plurality of magnetic field sensors and can measure magnetic fields in two or more directions.

The diagnostic device 60 uses the magnetic field data measured by the magnetic field sensor 13 (data on the magnetic field of the electric wire W1a) to determine the load current flowing in the electric wire W1a according to the Biot-Savart law, and also calculates the load current flowing in the electric wire W1a in the X1 direction and the Y1 direction. Positional deviations and deformations can be determined. Specifically, the diagnostic device 60 can estimate the load current flowing through the electric wire W1a from the magnitude of the absolute value of the magnetic field data measured by the magnetic field sensor 13, and calculates the X1 direction component and the Y1 direction component of the magnetic field data. From the components, changes in the position (positional shift and deformation) of the electric wire W1a can be determined.

The diagnostic device 60 can determine whether there is an abnormality in the transformer 1000 by checking the difference in the load current and position of the electric wire W1a from the normal state. The diagnostic device 60 determines how much the load current flowing through the electric wire W1a has changed from its value in the transformer 1000 in a normal state, and how much the position of the electric wire W1a has changed from its position in the transformer 1000 in a normal state. By checking this, it is possible to monitor the internal structural condition of the transformer 1000 (presence or absence of positional deviation or deformation of the electric wire W1a). For example, the diagnostic device 60 determines that the transformer 1000 is abnormal if a change in the internal structural state of the transformer 1000 (displacement or deformation of the electric wire W1a) is larger than a predetermined value. Diagnose.

The diagnostic device 60 calculates the value of the load current flowing through the electric wire W1a, the X1 direction component and the Y1 direction component of the magnetic field of the electric wire W1a, which are obtained from the magnetic field data measured by the magnetic field sensor 13 for the transformer 1000 in a normal state. The value is saved as normal data.

The diagnostic device 60 also decomposes the magnetic field data into components in two directions for the electric wires and windings 100, 200, and 300 in the low-voltage bushings 292 and 392, in the same way as described above, and calculates the data from when the load current is normal. By examining the changes in the wiring position and the changes in the wiring position from normal, the internal structural condition of the transformer 1000 (presence of wiring misalignment or deformation) can be monitored, and abnormalities in the transformer 1000 can be diagnosed. be able to.

The vibration data measured by the vibration sensors 1 to 9 is greatly influenced by the windings 100, 200, and 300 located near the vibration sensors 1 to 9. For this reason, an abnormality may occur in the windings 100, 200, 300 (for example, positional deviation or deformation of the windings 100, 200, 300, decrease in the tightening pressure of the windings 100, 200, 300, When the deterioration of the insulating material installed in the windings 300 occurs, the vibrations of the windings 100, 200, and 300 change, and at least one of the waveform and frequency component of the vibration data changes. However, the waveform and frequency components of the vibration data also change depending on the operating conditions of the transformer 1000 (for example, load current). Therefore, even if the vibration data changes, it is difficult to determine whether this change is caused by an abnormality in the windings 100, 200, or 300 or by a change in the load current of the transformer 1000. .

Therefore, in the monitoring and diagnosis device according to the present embodiment, vibration data is compared with normal vibration data by using the magnetic field data measured by the magnetic field sensors 10 to 15 and the load current calculated from this magnetic field data. By doing so, the internal structural condition of the transformer 1000 (for example, an abnormality in the windings 100, 200, and 300) is monitored, and an abnormality in the transformer 1000 is diagnosed.

Hereinafter, a configuration will be described in which the monitoring and diagnosis device according to this embodiment monitors and diagnoses the internal structural condition of the transformer 1000 using both vibration data and magnetic field data (load current).

The diagnostic device 60 obtains the feature amount of the vibration data from the vibration data. The feature amount of vibration data includes, for example, a frequency component calculated using a method such as FFT, a center of gravity frequency calculated from a spectrum of the frequency component, a maximum value of amplitude, and power calculated from the amplitude. Next, the diagnostic device 60 obtains the feature amount of the magnetic field data from the magnetic field data. The feature amount of the magnetic field data includes, for example, the absolute value of the magnetic field, the amplitude value of the magnetic field, the power calculated from the amplitude value of the magnetic field, and the load current calculated from the magnetic field.

The diagnostic device 60 determines the relationship between the feature amount of the vibration data and the feature amount of the magnetic field data when the load current calculated from the magnetic field data is the same for the transformer 1000 in an operating state and the transformer 1000 in a normal state. The transformer 1000 is monitored and diagnosed by comparing the .

The diagnostic device 60 divides the value of the feature amount of the vibration data by the value of the feature amount of the magnetic field data, and calculates and obtains a proportionality coefficient between the feature amount of the vibration data and the feature amount of the magnetic field data. Diagnostic device 60 can monitor and diagnose transformer 1000 using this proportionality coefficient. A certain degree of proportionality can be seen between the change in the feature amount of the vibration data and the change in the feature amount of the magnetic field data. Using this relationship, the diagnostic device 60 compares the proportionality coefficient of the transformer 1000 in the operating state with the proportionality coefficient of the transformer 1000 in the normal state for cases where the load current calculated from the magnetic field data is the same, and If the difference in proportionality coefficients is larger than a predetermined value, the transformer 1000 is diagnosed as abnormal.

The diagnostic device 60 also detects the correlation between the trend waveform of the feature amount of the vibration data (waveform indicating time change) and the trend waveform of the feature amount of the magnetic field data (for example, amplitude value) over a predetermined period of time. It is also possible to calculate and determine the correlation coefficient using any method and use this correlation coefficient to monitor and diagnose transformer 1000. The diagnostic device 60 compares the correlation coefficient of the transformer 1000 in the operating state with the correlation coefficient of the transformer 1000 in the normal state for cases where the load current calculated from the magnetic field data is the same, and calculates the correlation coefficient of these correlation coefficients. If the difference is larger than a predetermined value, the transformer 1000 is diagnosed as abnormal.

The amplitude value of the magnetic field data is approximately proportional to the load current. Therefore, the diagnostic device 60 corrects the change in the feature amount of the vibration data by removing the component caused by the change in the amplitude value of the magnetic field data from the change in the feature amount of the vibration data, and corrects the change in the feature amount of the vibration data. The change is compared with the change in the feature amount of the vibration data of the transformer 1000 in a normal state, and if the difference between the changes in the feature amount is larger than a predetermined value, it is determined that the transformer 1000 is abnormal. It can also be diagnosed.

The diagnostic device 60 calculates, for the transformer 1000 in a normal state, vibration data feature amounts and magnetic field data feature amounts for various load current values, and vibration data feature amounts for various load current values. data on the proportionality coefficient between and the feature quantity of the magnetic field data, and data on the correlation coefficient between the trend waveform of the feature quantity of the vibration data and the trend waveform of the feature quantity of the magnetic field data for various load current values. is saved as normal data. As described above, this normal data is for the transformer 1000 in a normal state, such as the transformer 1000 before shipment, the transformer 1000 just after installation, and the transformer 1000 just before or after starting operation. It can be obtained in advance by measurement. Furthermore, data obtained by learning the normal state using machine learning or the like may be used as the data during the normal state.

The monitoring diagnostic device according to the present embodiment compares the relationship between the feature amount of vibration data and the feature amount of magnetic field data with that of the transformer 1000 in a normal state when the load current is the same. It is possible to eliminate the influence of differences in load current, and to monitor and diagnose the internal structural condition of transformer 1000 in an operating state, regardless of differences in load current.

Note that the present invention is not limited to the above embodiments, and various modifications are possible. For example, the above-mentioned embodiments have been described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to embodiments having all the configurations described. Furthermore, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment. Further, it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to delete a part of the configuration of each embodiment, or to add or replace other configurations.

1, 2, 3, 4, 5, 6, 7, 8, 9... Vibration sensor, 10, 11, 12, 13, 14, 15... Magnetic field sensor, 31, 32, 33... Main landing gear, 36a... Upper yoke, 40a... Upper fastener, 40b... Lower fastener, 51, 52, 53... Support member, 60... Diagnosis device, 61... Communication device, 100... Winding wire, 141... Connection end, 142... High pressure bushing, 191... Connection end , 192...Low pressure bushing, 200...Winding, 241...Connection end, 242...High pressure bushing, 291...Connection end, 292...Low pressure bushing, 300...Winding, 341...Connection end, 342...High pressure bushing, 391...Connection end , 392...Low pressure bushing, 400...Tank, 1000...Transformer, D1...Vector from electric wire to magnetic field sensor, W1a...Electric wire, X1, Y1... Vector.

Claims (5)

installed in an electromagnetic device comprising a winding forming a coil body, an iron core, and a casing housing the winding and the iron core,
One or more vibration sensors that are installed in the housing and measure vibrations, one or more magnetic field sensors that are installed in the housing and measure magnetic fields, and a diagnostic device,
The diagnostic device determines a characteristic amount of vibration data measured by the vibration sensor and a characteristic amount of magnetic field data measured by the magnetic field sensor while the electromagnetic device is in operation, and determines the characteristic amount of the electromagnetic device from the magnetic field data. Find the load current,
The diagnostic device diagnoses the electromagnetic device by comparing the relationship between the feature amount of the vibration data and the feature amount of the magnetic field data with the electromagnetic device in a normal state when the load current is the same. monitor and diagnose;
A monitoring and diagnostic device for electromagnetic equipment, characterized by: The diagnostic device determines a proportionality coefficient between the feature amount of the vibration data and the feature amount of the magnetic field data,
The diagnostic device monitors and diagnoses the electromagnetic device by comparing the proportionality coefficient with the proportionality coefficient of the electromagnetic device in a normal state when the load current is the same.
The monitoring and diagnosis device for electromagnetic equipment according to claim 1. The diagnostic device calculates a correlation coefficient between a trend waveform of the feature amount of the vibration data and a trend waveform of the feature amount of the magnetic field data in a predetermined period,
The diagnostic device monitors and diagnoses the electromagnetic device by comparing the correlation coefficient with the correlation coefficient of the electromagnetic device in a normal state when the load current is the same.
The monitoring and diagnosis device for electromagnetic equipment according to claim 1. The vibration sensor and the magnetic field sensor include a communication unit capable of communicating with the diagnostic device,
The diagnostic device includes a communication device, and receives the vibration data from the vibration sensor and the magnetic field data from the magnetic field sensor, via the communication device.
The monitoring and diagnosis device for electromagnetic equipment according to claim 1. The diagnostic device transmits a trigger indicating the start of measurement to the vibration sensor and the magnetic field sensor,
A plurality or all of the vibration sensors and the magnetic field sensors that have received the trigger start measurement from the same time;
The monitoring and diagnosis device for electromagnetic equipment according to claim 4.

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