JP2022047155A - Diagnostic device and diagnostic program for stationary induction device - Google Patents

Abstract

To provide a diagnostic device and diagnostic program for a stationary induction device, which enable narrowing down the causes of noise as much as possible.SOLUTION: A diagnostic device for a stationary induction device comprises a comparison unit which enables diagnosis of causes of noise by making comparison between sets of frequency analysis data of multiple types of noise obtained by performing frequency analysis of the multiple types of noise acquired around the stationary induction device under noise measurement while changing loads to be connected to the stationary induction device.SELECTED DRAWING: Figure 3

Description

Embodiments of the present invention relate to a diagnostic device and a diagnostic program of a stationary induction device.

In general, stationary induction devices such as transformers may generate abnormal noise. Conventionally, when an abnormal noise is generated in a transformer, an expert judges it based on the five senses, or measures the noise signal using a measuring instrument, and analyzes this measurement result by FFT, that is, fast Fourier transform. Was. However, even if such a diagnostic method is used, the abnormality cannot be detected accurately and the reliability is lacking. In order to solve such a problem, a technique for diagnosing an abnormality of a stationary device has been proposed (see, for example, Patent Document 1).

The technique described in Patent Document 1 diagnoses the state of a stationary device by determining the data of the frequency band of the sound collected around the device in operation by using the upper limit threshold value and the lower limit threshold value. In particular, the threshold value determining means makes a determination using the upper limit threshold value and the lower limit threshold value for each frequency for frequencies of even-numbered multiples, odd-numbered multiples, or integer multiples of the frequency of the commercial power supply.

Japanese Unexamined Patent Publication No. 2010-271073

The applicant uses a sound level meter to perform frequency analysis of the noise generated around the local static induction device in order to identify the noise source generated by the transformer as a large-scale static induction device. However, even if the technology described in Patent Document 1 is applied, it is difficult to diagnose the cause when a sound unrelated to the dependent frequency of the commercial frequency, which is not caused by the excitation noise or the load noise, is generated. rice field.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a diagnostic device and a diagnostic program for a stationary induction device capable of narrowing down the cause of noise as much as possible.

One aspect of the present embodiment is frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the static induction device obtained under the condition that the load connected to the static induction device to be measured is changed. A comparison unit, which makes it possible to diagnose the cause of the noise by comparing the noise levels, is provided.
One aspect of the present embodiment is to obtain frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the static induction device obtained under the condition that a plurality of static induction devices to be noise-measured are operated. It is equipped with a comparison unit that makes it possible to diagnose the cause of noise by comparing.
In one aspect of the present embodiment, when the static induction device to be noise-measured is a transformer equipped with a fan, the static induction obtained under the condition that the fan is operated and not operated while the load of the static induction device is unloaded. It is provided with a comparison unit that makes it possible to diagnose the cause of noise by comparing the frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the device.
One aspect of the present embodiment is based on the frequency analysis data of the noise when the static induction device operates normally when there is no load, and the ambient noise is acquired under the condition that the load of the static induction device is unloaded, and the frequency is obtained. It is equipped with a comparison unit that makes it possible to diagnose the cause of noise by comparing the analyzed frequency analysis data.

Front view schematically showing the structure of the stationary induction device according to the first embodiment. Top view schematically showing the structure of the stationary induction device according to the first embodiment. Configuration block diagram of the diagnostic system of the stationary guidance device according to the first embodiment A sequence diagram illustrating a flow according to the first embodiment. A flowchart showing the contents of the remote diagnosis according to the first embodiment. Example of comparison result (display result) of frequency analysis data according to the first embodiment Example of frequency analysis data at no load according to the second embodiment Front view schematically showing the structure of the stationary induction device according to the third embodiment. Top view schematically showing the structure of the stationary induction device according to the third embodiment. A sequence diagram for explaining the flow of operations according to the third embodiment. Flow chart showing remote diagnosis according to the third embodiment Top view schematically showing the structure of the stationary induction device according to the fourth embodiment. A sequence diagram for explaining the flow of operations according to the fourth embodiment. Flow chart showing remote diagnosis according to the fourth embodiment Example of comparison result (display result) of frequency analysis data according to the fourth embodiment

Hereinafter, some embodiments applied to the diagnostic system 20 and the diagnostic program of the molded transformer 1 for high voltage power receiving and distribution equipment will be described with reference to the drawings. In the following description, substantially the same constituent parts are designated by the same reference numerals, and the description thereof will be omitted as necessary.

(1) First Embodiment FIGS. 1 to 6 show explanatory views of the first embodiment. First, a configuration example of the molded transformer 1 will be described with reference to FIGS. 1 and 2. FIG. 1 shows a front view of the mold transformer 1 which is a noise measurement target of the present embodiment, and FIG. 2 shows a plan view of the mold transformer 1. The mold transformer 1 includes an iron core 2 and three coils 3 mounted on the iron core 2. The coil 3 is composed of a molded coil. The iron core 2 is configured to include, between the upper yoke portion 4 extending in the left-right direction and the lower yoke portion 5 in FIG. 1, three leg portions 6 extending in the vertical direction and connected to them. The coil 3 is wound around each leg portion 6.

The iron core 2 is formed by laminating a plurality of thin metal plates made of, for example, a silicon steel plate, and the yoke portion 4 is fastened and fixed by, for example, an upper clamp 7 made of a steel material. Similarly, the lower yoke portion 5 is tightened and fixed by the lower clamp 8. Further, the lower yoke portion 5 and the lower clamp 8 are fixedly installed on the pedestal 9. The iron core 2, the upper clamp 7, the lower clamp 8, and the pedestal 9 are connected to the ground potential.

A coil fixing portion 11 for fixing the upper end of the coil 3 to the upper clamp 7 is provided at the upper end in the axial direction of each coil 3. The coil fixing portion 11 is configured to project from the constituent portion of the coil 3 toward the upper clamp 7, and is fastened to the upper clamp 7 by a bolt 11a. Further, a coil fixing portion 13 for fixing the lower end of the coil 3 to the lower clamp 8 is provided at the lower end in the axial direction of each coil 3. The coil fixing portion 13 is configured to project from the constituent portion of the coil 3 toward the lower clamp 8, and is fastened to the lower clamp 8 by a bolt 13a.

Next, the configuration of the diagnostic system 20 will be described. The diagnostic system 20 exemplified in FIG. 3 shows a system for diagnosing noise generated from the molded transformer 1 or its surroundings. The diagnostic system 20 is composed of a mobile terminal 30 operated at the site where the mold transformer 1 is installed, and a management computer 40 operated at a remote location. These mobile terminals 30 and the management computer 40 can be communicated and connected via the network 50.

The mobile terminal 30 is a device composed of a sound level meter, a smartphone, a tablet terminal, or the like capable of acquiring ambient noise with good directivity, and capable of acquiring sound generated in the mold transformer 1 and its periphery. The mobile terminal 30 is carried and operated by a local worker who manages the mold transformer 1, and various functions are virtually performed by executing a program for the terminal stored in the storage unit 32 mounted inside. Realize.

The management computer 40 is a diagnostic device for detailed analysis installed in a remote place far away from the mold transformer 1, and performs various functions by executing a computer program stored in the storage unit 43 mounted inside. Realize virtually.

The network 50 is based on a communication line such as the Internet or a LAN (Local Area Network), and is based on either a wireless communication line or a wired communication line or a line in which a wireless communication line and a wired communication line coexist. The network 50 is connected so that various information can be communicated between the mobile terminal 30 and the management computer 40.

The mobile terminal 30 has functions as a communication unit 31, a storage unit 32, a display unit 33, an operation unit 34, a sound collection unit 35, an image pickup unit 36, and a processing unit 37. The communication unit 31 can communicate with the communication unit 41 of the management computer 40 through the network 50. The application program is stored in the storage unit 32. The operation unit 34 is a touch panel or keyboard that accepts operations, and outputs a signal corresponding to the operation to the processing unit 37. The display unit 33 is a display device such as a liquid crystal display, and displays an image generated by the processing unit 37.

The image pickup unit 36 is a camera device installed on the front surface or the back surface of the mobile terminal 30, and enables the front or rear image to be captured. The sound collecting unit 35 collects peripheral sounds according to the control signal output from the processing unit 26. The processing unit 37 stores the image captured by the image pickup unit 36 and the sound collected by the sound collection unit 35 in the storage unit 32 as a file. The processing unit 37 has a function as an analysis unit 38. The analysis unit 38 performs frequency analysis by FFT, that is, a fast Fourier transform, and frequency-analyzes the sound of the file stored in the storage unit 32.

On the other hand, the management computer 40 is composed of a so-called ordinary computer, and has functions as a communication unit 41, a display unit 42, a storage unit 43, and a processing unit 44. The application program is stored in the storage unit 43. The processing unit 44 virtually realizes the functions of the comparison unit 45 and the diagnosis unit 46 by software. The comparison unit 45 makes it possible to diagnose the cause of noise by comparing frequency analysis data of a plurality of noises. For example, the display unit 42 can visually recognize the cause of noise by displaying the comparison result of the comparison unit 45. To. The diagnosis unit 46 diagnoses the cause of noise based on the comparison result of the comparison unit 45.

An example of the flow when the noise of the mold transformer 1 is measured on site and the remote diagnosis is performed at a remote location will be described with reference to FIGS. 4 and 5.
At the site where the mold transformer 1 is installed, an operator inspects the mold transformer 1 using the mobile terminal 30. The operator uses the mobile terminal 30 to collect a part of the mold transformer 1 and its peripheral portion as an image pickup target of the image pickup unit 36, and collects noise generated in the mold transformer 1 and its surroundings from the sound collecting unit 35. Therefore, the abnormal noise generation investigation is executed (S101). At this time, the operator possesses the mobile terminal 30 and collects sound from the sound collecting unit 35 while moving around the mold transformer 1. The mobile terminal 30 acquires the sound around the mold transformer 1 from various positions around the mold transformer 1. The processing unit 37 stores the acquired noise data file in the storage unit 32.

On the other hand, technicians are waiting in remote areas. The technician uses the management computer 40 to communicate with the mobile terminal 30 to instruct the operator at the noise measurement point around the mold transformer 1. Further, the technician instructs the management computer 40 to reduce the load of the mold transformer 1 to a light load, and gives an instruction to measure noise (S102, S103). At this time, at the site, the worker sets the load of the mold transformer 1 to a relatively light light load, operates the mobile terminal 30, and measures the noise (S104). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S105). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the first analysis data A1 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S106).

After that, when the management computer 40 receives the file, the technician instructs the management computer 40 to reduce the load to a medium load (S107), and gives a noise measurement instruction (S108). At this time, at the site, the worker sets the load of the mold transformer 1 to a medium load and measures the noise (S109). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S110). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the second analysis data A2 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S111). When the remote management computer 40 receives the first analysis data A1 and the second analysis data A2 through the communication unit 41, it executes the remote diagnosis (S112).

As illustrated in FIG. 5, the processing unit 44 of the management computer 40 compares the first analysis data A1 and the second analysis data A2 by the comparison unit 45 (S113). When the comparison unit 45 compares the first analysis data A1 and the second analysis data A2, the display unit 42 displays the comparison result on the screen.

FIG. 6 shows the comparison result and the display result of the first analysis data A1 and the second analysis data A2. The noise of the mold transformer 1 is divided into the excitation noise generated based on the magnetostriction that the iron core 2 expands and contracts due to the application of an AC voltage, and the load noise generated by the expansion and contraction of the coil 3 due to the load current of the mold transformer 1. be able to.

Therefore, the management computer 40 may diagnose the cause of noise based on the comparison result of the comparison unit 45 by executing a predetermined program by the diagnosis unit 46. The diagnostic unit 46 compares the first analysis data A1 acquired under light load conditions with the second analysis data A2 acquired under medium load conditions, switches from light load to medium load, and changes the current flowing through the load. It is determined whether or not the noise is increased in a predetermined frequency band R (for example, audible sound of 1 kHz or more) having a relatively high frequency with the increase (S114).

When a local worker changes the load from a light load to a medium load and increases the load current, noise increases in a predetermined frequency band R (for example, audible sound of 1 kHz or more) in a relatively high frequency band. If so, it can be seen that it is different from the above-mentioned excitation noise.

Therefore, for example, in the diagnosis unit 46, does the noise level of a predetermined frequency band R of a relatively high frequency band having the first analysis data A1 and the second analysis data A2 cause a level difference of a certain predetermined threshold or more? Judge whether or not, and determine the cause of noise. For example, when the noise level difference of a certain component in a predetermined frequency band R is equal to or more than a predetermined threshold value, the diagnostic unit 46 determines YES in S114.

If the diagnosis unit 46 determines YES in S114, the diagnosis unit 46 assumes that the structure is vibrating due to the electromagnetic force generated due to the increase in the load current (S115), and makes a diagnosis (S115), for example, with respect to the display unit 42. Display "Effect and estimation of vibration of structure". As a result, the technician can inform the local worker from a remote location of the influence of the vibration of the structure by using the management computer 40, and the transformer function of the mold transformer 1 is not abnormal. Can be diagnosed.

The local worker infers the cause of the abnormal noise generated in the mold transformer 1 by focusing on the structure around the mold transformer 1. The local worker observes the structure existing around the mold transformer 1 and again uses the sound collecting unit 35 of the portable terminal 30 to acquire the noise level generated from the structure around the mold transformer 1. By frequency analysis by the analysis unit 38, for example, the bolt 11a of the coil fixing portion 11 for fixing the coil 3 to the upper clamp 7 and the bolt 13a of the coil fixing portion 13 for fixing the lower clamp 8 are inspected for looseness. can.

In the above, the form in which the diagnosis unit 46 is provided in the management computer 40 is shown, but the diagnosis unit 46 may be provided as needed, and even if a technician at a remote location manually performs the diagnosis contents by the diagnosis unit 46. good. That is, the technician makes a judgment by observing the display content of the display unit 42 as a result of comparing the first analysis data A1 acquired under the light load condition and the second analysis data A2 acquired under the medium load condition. You may. That is, since there is a clear difference in noise level between the first analysis data A1 and the second analysis data A2 in the predetermined frequency band R, it is easy for the engineer to observe the comparison result displayed on the display unit 42. This is because it can be judged.

According to the diagnostic system 20 of the present embodiment, the analysis unit 38 frequency-analyzes a plurality of peripheral noises obtained under the condition that the load connected to the mold transformer 1 is changed, and the comparison unit 45 performs a plurality of noises. It is possible to diagnose the cause of noise by comparing the frequency analysis data of. This makes it possible to narrow down the cause of noise. For example, it can be pointed out from a remote location that the cause of the increase in noise when the load current increases may be the vibration resonance of the structure that occurs when the load current increases.

Further, the diagnostic unit 46 diagnoses the influence of the vibration of the structure installed around the mold transformer 1 when the noise increases in the predetermined frequency band R due to the increase of the current flowing through the load. Therefore, the noise source can be identified with high accuracy.
Both the functions of the comparison unit 45 and the diagnosis unit 46 described above may be provided in the mobile terminal 30. Further, the function of the analysis unit 38 described above may be provided in the management computer 40.

(Second embodiment)
FIG. 7 shows an explanatory diagram of the second embodiment. FIG. 7 illustrates the noise frequency spectrum of the mold transformer 1 when there is no load. It has been found that the excitation noise appears largely in a relatively low frequency band (for example, 100 Hz to several hundred Hz), which is about an order of magnitude higher than that when the commercial frequency is used as the fundamental frequency.

The noise when there is no load is mainly due to the magnetic distortion sound of the iron core 2, and for example, the noise in the high frequency band of 1000 Hz or higher is small. If the noise in the high frequency band of 1000 Hz or higher is large even when there is no load, it can be determined that the noise is generated by the vibration of another structure affected by the vibration of the iron core 2.

Therefore, it is preferable that the management computer 40 stores in advance the reference value of the noise level when the mold transformer 1 is operating normally when there is no load in the storage unit 43. Then, it is preferable to operate the mold transformer 1 at the site when there is no load to acquire the frequency analysis data of the noise level. The management computer 40 may compare the noise level in the high frequency band with the reference value in the frequency analysis data by the comparison unit 45. The management computer 40 may display the comparison result with the reference value on the screen of the display unit 42 as needed.

Further, the diagnostic unit 46 of the management computer 40 diagnoses the noise generated by the vibration of other structures when the reference value exceeds a certain predetermined margin when the mold transformer 1 is started to operate under no load. Then it is good. In this case, the primary diagnosis can be made that the transformer function of the mold transformer 1 is operating normally. Also in such a second embodiment, the noise source can be estimated accurately as in the first embodiment.

(Third embodiment)
8 to 11 show explanatory views of the third embodiment. In addition, only the part different from the first embodiment will be described. In the present embodiment, as a static induction device, a form applied to a mold transformer 1 equipped with a cross fan 14 (corresponding to a fan) for cooling the coil 3 is shown, and changes according to the operation / non-operation of the cross fan 14. A form of comparison processing of frequency analysis data will be described.

As illustrated in FIGS. 8 and 9, an axial fan air-cooled molded transformer 1 is configured. A cross fan 14 is fixed to the front and rear of each coil 3 constituting the mold transformer 1. The cross fan 14 is provided for cooling each coil 3 and is mounted by the mounting portion 14a. Since other configurations are the same as those of the first embodiment, the description of the mold transformer 1 will be omitted.

An example of the flow when the noise of the mold transformer 1 is measured on site and the remote diagnosis is performed at a remote location will be described with reference to FIGS. 10 and 11.
A technician at a remote location instructs a worker at a noise measurement point around the mold transformer 1 by communicating with a mobile terminal 30 using, for example, a management computer 40. Further, the technician instructs the management computer 40 to put the cross fan 14 into a non-operating state (S102a), and gives an instruction to measure noise (S103a). At the site, an operator sets the cross fan 14 to a non-operating state, operates the mobile terminal 30, and measures noise (S104). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S105). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the first analysis data A1 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S106).

After that, when the management computer 40 receives the file, the technician instructs the management computer 40 to put the cross fan 14 into an operating state (S107a), and gives a noise measurement instruction (S108a). At the site, an operator sets the cross fan 14 in an operating state and measures noise (S109). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S110). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the second analysis data A2 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S111). At a remote location, the management computer 40 executes remote diagnosis when it receives the first analysis data A1 and the second analysis data A2 through the communication unit 41 (S112).

As illustrated in FIG. 11, the processing unit 44 of the management computer 40 compares the first analysis data A1 and the second analysis data A2 by the comparison unit 45 (S113). The comparison unit 45 causes the display unit 42 to display the comparison result of the first analysis data A1 and the second analysis data A2. The diagnostic unit 46 determines whether or not the noise has increased in the predetermined frequency band R when the cross fan 14 is operated in S114a.

If the diagnosis unit 46 determines YES in S114a, it diagnoses the influence of the mounting portion 14a of the cross fan 14 (S115a), and causes the display unit 42 to display, for example, "the influence of the mounting portion 14a of the cross fan 14 and estimation". The technician can inform the local worker of the probable cause from a remote location.

A local worker guesses the cause of the abnormal noise generated in the mold transformer 1 by focusing on the mounting portion 14a of the cross fan 14. The local worker observes the mounting portion 14a, or again uses the sound collecting portion 35 of the mobile terminal 30 to acquire the noise level generated from the mounting portion 14a, and the analysis unit 38 analyzes the frequency of the cross fan 14. It is possible to inspect the mounting portion 14a for looseness and the like.

In this embodiment as well, the form in which the diagnostic unit 46 is provided in the management computer 40 is shown, but the diagnostic unit 46 may be provided as needed, and a technician at a remote location manually performs the diagnostic processing contents by the diagnostic unit 46. You may go through.

As described above, according to the present embodiment, the analysis unit 38 frequency-analyzes and compares the noise acquired under the conditions that the cross fan 14 is operated and not operated while the load of the molded transformer 1 is unloaded. The unit 45 makes it possible to diagnose the cause of noise by comparing the frequency analysis data. Further, the diagnostic unit 46 diagnoses the influence of the vibration of the mounting portion 14a of the cross fan 14 when the noise increases in the predetermined frequency band R when the cross fan 14 is operated. As a result, the same effect as that of the above-described embodiment is obtained.

(Third embodiment)
12 to 15 show explanatory views of the third embodiment. In addition, only the part different from the second embodiment will be described. In this embodiment, a comparison of noise frequency analysis data when a plurality of adjacent molded transformers 1 are operated will be described. As illustrated in FIG. 12, a plurality of axial-flow fan air-cooled mold transformers 1 may be installed side by side. Here, each of the molded transformers 1 will be referred to as a first transformer 1a, a second transformer 1b, and a third transformer 1c.

A cross fan 14 for cooling each coil 3 is fixed to the front and rear of each coil 3 constituting the first transformer 1a, the second transformer 1b, and the third transformer 1c. The cross fan 14 is attached to the pedestal 9 by the attachment portion 14a.

An example of the flow when the noise of the mold transformer 1 is measured on site and the remote diagnosis is performed at a remote location will be described with reference to FIGS. 13 to 15.
A technician at a remote location uses the management computer 40 to communicate with the mobile terminal 30 to instruct the operation of the first transformer 1a (S102b), and gives an instruction to measure the noise around the first transformer 1a (S103b). ). At this time, a worker operates the first transformer 1a and operates the mobile terminal 30 to measure noise at the site (S104). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S105). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the first analysis data A3 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S106).

After that, when the management computer 40 receives the file, the technician uses the management computer 40 to communicate with the mobile terminal 30 to instruct the operation of the second transformer 1b (S107b) and give a noise measurement instruction (S108b). ). At the site, the worker stops the operation of the first transformer 1a, then starts the operation of the second transformer 1b, operates the mobile terminal 30, and measures the noise (S109). The mobile terminal 30 stores an image file including noise data in the storage unit 32.

When the operator instructs the mobile terminal 30 to analyze by operating the operation unit 34 of the mobile terminal 30, the analysis unit 38 of the processing unit 37 frequency-analyzes the noise data stored in the storage unit 32 by FFT (S110). .. The processing unit 37 transmits the analysis result of the analysis unit 38 as the second analysis data A4 to the management computer 40 through the communication unit 31, the network 50, and the communication unit 41 (S111). At a remote location, the management computer 40 executes remote diagnosis when it receives the first analysis data A3 and the second analysis data A4 through the communication unit 41 (S112).

As illustrated in FIG. 14, the processing unit 44 of the management computer 40 compares the first analysis data A3 and the second analysis data A4 by the comparison unit 45 (S113). When the comparison unit 45 compares the first analysis data A3 and the second analysis data A4, the display unit 42 displays the comparison result on the screen. FIG. 15 shows the comparison result and the display result of the first analysis data A3 and the second analysis data A4. The diagnostic unit 46 determines whether or not noise has increased in a predetermined frequency band R2 (for example, audible sound of 3000 Hz or higher) during the operation of the first transformer 1a (S114b). If the diagnosis unit 46 determines YES in S114b, it diagnoses the influence of the mounting portion 14a of the cross fan 14 close to the first transformer 1a (S115b), and for example, the display unit 42 is "close to the first transformer 1a". It is estimated that the influence of the mounting portion 14a of the cross fan 14 "is displayed.

Similarly, the diagnostic unit 46 determines whether or not the noise has increased in the predetermined frequency band R2 during the operation of the second transformer 1b (S114c). If the diagnosis unit 46 determines YES in S114c, it diagnoses the influence of the mounting portion 14a of the cross fan 14 close to the second transformer 1b (S115b), and for example, the display unit 42 is "close to the second transformer 1b". It is estimated that the influence of the mounting portion 14a of the cross fan 14 "is displayed. The same comparison and diagnostic processing may be repeated for the third transformer 1c. The technician can inform the local worker of the probable cause from a remote location.

Local workers are asked about the cause of abnormal noise around the first transformer 1a, the second transformer 1b, and the third transformer 1c, and the target first transformer 1a or the second transformer 1b. It is estimated by focusing on the mounting portion 14a of the cross fan 14 of the above. The local worker observes the mounting portion 14a, or again uses the sound collecting portion 35 of the mobile terminal 30 to acquire the noise level generated from the mounting portion 14a, and the analysis unit 38 analyzes the frequency of the cross fan 14. It is possible to inspect the mounting portion 14a for looseness and the like.

For example, as illustrated in FIG. 15, the diagnostic unit 46 makes noise in a predetermined frequency band R2 having a relatively high frequency during the operation of the second transformer 1b as compared with the operation of the first transformer 1a. It is determined whether or not the noise is increasing, and if the noise is increasing in the predetermined frequency band R2, there is a difference in the state of the mounting portion 14a of the cross fan 14, and there is a possibility that there is a problem in the mounting state. The primary diagnosis can be made as high. In this case, the diagnostic unit 46 can diagnose the influence of the mounting unit 14a of the cross fan 14 close to the second transformer 1b.

As described above, according to the present embodiment, the analysis unit 38 frequency-analyzes the noise acquired under the conditions in which the first transformer 1a and the second transformer 1b are operated, and the comparison unit 45 first analyzes the noise. The analysis data A3 and the second analysis data A4 are compared to enable diagnosis. In addition, the diagnosis unit 46 makes it possible to make a diagnosis. As a result, the same effect as that of the above-described embodiment is obtained.

The diagnostic unit 46 is affected by the vibration of the mounting portion 14a of the cross fan 14 of the target transformer 1a or 1b when the noise is increasing in the predetermined frequency band R2 when the target transformer 1a or 1b is operated. I have diagnosed. As a result, the noise generation range can be narrowed down from the transformers 1a to 1c installed in a wide range, and the influence of noise can be specified in more detail.
In this embodiment as well, the form in which the diagnostic unit 46 is provided in the management computer 40 is shown, but the diagnostic unit 46 may be provided as needed, and a technician at a remote location manually performs the diagnostic processing contents by the diagnostic unit 46. You may go through.

(Other embodiments)
Although each embodiment has been described above, the following modifications can be made. In each embodiment, the mold transformer 1 has been illustrated and described as a static induction device, but the present invention is not limited thereto. For example, it may be applied to a reactor. Further, the configuration in which the coil 3 is provided with three is exemplified, but the present invention is not limited to this.
The frequency bands R1 and R2 are shown in the band of audible sound of 1 kHz or more, but are not limited to this, and can be appropriately changed in the high frequency band.
Although the form in which the "fan" is applied to the cross fan 14 has been described, the present invention is not limited to this, and various fans can be applied.

As described above, some embodiments of the present invention have been described, but these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1, 1a, 1b, 1c ... Transformer (static induction device), 11 and 13 are coil fixing parts (structure), 30 ... Mobile terminal, 38 ... Analysis unit, 40 ... Management computer, 45 ... Comparison unit, 14 ... Cross fan, 14a ... Indicates a cross fan mounting portion.

Claims (12)

By comparing the frequency analysis data of the multiple noises obtained by frequency-analyzing the multiple noises around the static induction device obtained under the condition that the load connected to the static guidance device to be measured is changed, the noise Comparison unit that makes it possible to diagnose the cause,
A diagnostic device for static guidance equipment. The cause of noise can be determined by comparing the frequency analysis data of multiple noises obtained by frequency-analyzing multiple noises around the static induction device obtained under the condition that multiple static induction devices to be measured are operated. Comparison unit that makes diagnosis possible,
A diagnostic device for static guidance equipment. If the static induction device for noise measurement is a transformer with a fan,
The frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the static induction device obtained under the conditions that the fan is operated and not operated while the load of the stationary induction device is unloaded are compared. Comparison unit that makes it possible to diagnose the cause of noise,
A diagnostic device for static guidance equipment. Based on the frequency analysis data of the noise when the static induction device operates normally when there is no load, the ambient noise is acquired under the condition that the load of the static induction device is unloaded, and the frequency analysis data of the frequency analysis is compared. Comparison unit that makes it possible to diagnose the cause of noise,
A diagnostic device for static guidance equipment. A diagnostic unit for diagnosing the cause of the noise based on the comparison result of the comparison unit is provided.
The first aspect of claim 1, wherein the diagnostic unit diagnoses the influence of vibration of a structure installed around the stationary induction device when noise increases in a predetermined frequency band due to an increase in current flowing through the load. Diagnostic device for stationary induction equipment. A diagnostic unit for diagnosing the cause of the noise based on the comparison result of the comparison unit is provided.
The diagnostic device for a stationary induction device according to claim 3, wherein the diagnostic unit diagnoses the influence of vibration of the mounting portion of the fan when the noise increases in a predetermined frequency band when the fan is operated. .. The diagnostic device for a static guidance device according to any one of claims 1 to 6, wherein the comparison unit is provided in a management computer for remotely diagnosing the cause of noise of the static guidance device. The diagnostic device for a stationary induction device according to any one of claims 1 to 7, further comprising a display unit for displaying the comparison result of the comparison unit. For diagnostic equipment
The procedure for acquiring the frequency analysis data of the plurality of noises obtained by frequency-analyzing the plurality of noises around the static induction device obtained under the condition that the load connected to the static induction device to be measured is changed, and
A procedure for making it possible to diagnose the cause of the noise by comparing the frequency analysis data of the plurality of noises,
A diagnostic program for static induction equipment that runs. For diagnostic equipment
A procedure for acquiring frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the static induction device obtained under the condition that a plurality of static induction devices to be measured are operated.
The procedure for making it possible to diagnose the cause of noise by comparing the frequency analysis data of the plurality of noises,
A diagnostic program for static induction equipment that runs. If the static induction device for noise measurement is a transformer with a fan,
For diagnostic equipment
Acquire frequency analysis data of a plurality of noises obtained by frequency-analyzing a plurality of noises around the static induction device obtained under the conditions that the fan is operated and not operated while the load of the stationary induction device is unloaded. Procedure and
The procedure for making it possible to diagnose the cause of noise by comparing the frequency analysis data of the plurality of noises,
A diagnostic program for static induction equipment that runs. For diagnostic equipment
The procedure to acquire the frequency analysis data obtained by acquiring the ambient noise and frequency analysis under the condition that the load of the stationary induction device is unloaded, and
A procedure that makes it possible to diagnose the cause of noise by comparing the acquired frequency analysis data with reference to the frequency analysis data of noise when the stationary induction device operates normally when there is no load.
A diagnostic program for static induction equipment that runs.

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