JPH0280980A - Current supply abnormality detector of gas insulating switching machinery - Google Patents

Abstract

PURPOSE:To prevent an serious accident by detecting the abnormality of current supply by arranging a current supply abnormality detector consisting of a vibration sensor, a preamplifier, a transmission part and a judge part to machinery to be detected for detecting the abnormality of current supply generated in a conductor connection part. CONSTITUTION:A vibration sensor 2 as a vibration detection means is arranged to the outer wall of a tank 3 of a current supply abnormality detector and the output signal of the vibration sensor 2 is sent to a frequency analyser 14 through a cable 11, a preamplifier 12 and a cable 13. The measuring result converted on a frequency axis by the frequency analyser 14 is sent to an abnormality judge device 16 as a digital signal by a transmission means such as GPIB through a cable 15. In the abnormality judge device 16, it is judged whether a sharp peak is present within a set frequency band and a peak value exceeds a preset judge reference value and, when these conditions are satisfied, an abnormal alarm is issued.

Description

[Detailed Description of the Invention] [Field of Industrial Application] The present invention relates to an abnormality detection device for power transmission and distribution equipment such as gas-insulated switchgear equipment, and in particular is used to detect abnormalities in current flow such as poor contact occurring at conductor connections at an early stage. , relates to a current abnormality detection device that prevents serious accidents such as ground faults.

[Conventional technology]

As society becomes increasingly information-oriented, the need for improved power quality increases, and power transmission and distribution equipment such as gas-insulated switchgear equipment is required to be even more reliable. To this end, it is important to improve the reliability of the equipment itself and to develop preventive maintenance techniques that detect abnormalities early if they occur and prevent serious accidents such as ground faults. One of the abnormalities that should be detected is energization abnormality. This is caused by i) insufficient contact force, which occurs when bolts are insufficiently tightened during the conflicting process of conductor connections;
) Insufficient contact area when a malfunction occurs in the operating device of the opening/closing part, resulting in incomplete closing, ■) Large current in the defective contact part due to damage to the contact area of the contact of the interrupting part due to excessive current interruption, etc. This occurs when electricity is applied. Conventional techniques related to the current abnormality detection method include the following. Utility Model Application Publication No. 56-68131 and Japanese Patent Application Publication No. 55-1 are used to detect temperature rise due to heat generation from abnormal parts.
There is No. 54428.

The former has a temperature sensor installed on the outer wall of the equipment tank to ensure reliability, but it is easily affected by the environment such as sunlight, and the detection part is far away from the abnormal part, so it is sensitive.
There are difficulties in improving the accuracy of abnormality detection. In the latter method, the detection section is installed on a high-potential conductor in order to improve detection accuracy, but this poses problems in terms of reliability, such as making maintenance of the sensor difficult.

When an insulating gas, such as SFs gas, sealed in an equipment container is exposed to an abnormal area where the temperature has increased, it decomposes and generates decomposed gas. JP-A-55-41165 discloses a method for detecting this decomposed gas. This method is essentially unusable in a gas compartment where a cutoff section and a disconnection section are installed, since the amount of decomposed gas generated when the current is cut off is overwhelmingly large. Even in other gas compartments, the detection sensitivity of current commercially available products is still insufficient. Detection methods for electromagnetic waves, electric pulses, etc. are disclosed in Japanese Patent Application Laid-open No. 55-11.
No. 7411. Electric signals that can be detected by these detection methods are generated only after minute spark discharges begin to occur between the electrodes in the final phase of abnormal development.

Even if an abnormality is detected, the time until a ground fault occurs is only a few seconds to several tens of seconds, and there is no grace period for a ground fault concave wall.

Insulation abnormalities are detected using different preventive maintenance techniques. One detection method is a partial discharge detection method using vibration measurement, which is recognized by the IEE.
E Dingrans, on Power Apparatu
s and Systems VoQ, PAS-100
, &6 (1981) PP2733-2739. The vibration described here is generated by partial discharge and has a frequency range of 10 KHz, and is different from the vibration to be detected in the present invention in both the cause and the frequency range.

The vibrations that occur during energization abnormalities are described in Lecture Nα1147 at the 1985 National Conference of the Institute of Electrical Engineers of Japan, but the detection method,
In particular, there is no mention of increasing precision.

[Problem to be solved by the invention]

The purpose of the present invention is to provide an energization abnormality detection device that detects energization abnormalities with high precision and early without compromising reliability, and that makes it possible to prevent serious accidents in power transmission and distribution equipment such as gas-insulated switchgear equipment. It is about providing.

[Means to solve the problem]

The above purpose is to measure vibrations with a vibration sensor installed in the equipment container and process them appropriately to distinguish vibration components specific to energization abnormalities from noise vibrations, and when this exceeds a judgment standard value, an abnormality is detected. This is achieved by making a judgment.

[Effect]

In order to measure vibrations and detect current abnormalities with high accuracy,
It is necessary to accurately understand the characteristics specific to the vibrations that occur during abnormal energization. The following is a summary of the findings obtained from various experiments using gas-insulated switchgear equipment, causing artificial contact failures in the conductor connections, and applying large currents of 100 to several thousand amperes.

(1) Vibrations that occur during abnormal energization are caused by the voltage between electrodes (voltage drop between conductors) at the abnormal energization part being approximately 0. From around the time when it exceeds IV, it begins to increase rapidly as the voltage between electrodes increases.

(2) The interelectrode voltage is the melting voltage of the conductor material (0.43 for copper)
(2) When the voltage is lower than 0.37 V (for silver), no melt or discharge traces remain in the abnormally energized area. In other words, the vibration described above is not caused by discharge. Therefore, this detection method is capable of detecting the initial stage of the progression of abnormality in current conduction.

(3) There are stable states and unstable states in the abnormal energization section. In the former case, the inter-electrode voltage waveform is a slightly distorted sinusoidal waveform with a relatively long duration, as shown in Figure 2 (a), and in the latter case, the inter-electrode voltage waveform is a distorted waveform that changes suddenly at the current zero point (Fig. 2). (b)), the duration is usually short, a few seconds or less.

(4) The characteristics of the vibration in the stable state are as follows.

As shown in FIG. 3, which is an example of a frequency analysis result of a vibration measurement waveform, sharp peaks appear at integral multiples of the current frequency (here, 50 Hz), particularly at even multiple frequencies. This means that the vibration waveform is a repeating waveform of 50 Hz, that is, its generation is caused by the applied current, and that the polarity effect is small.

(5) The magnitude of the above vibration is approximately 10” up to 2KHz.
It has a component of about 2 m/s2, and although not shown, its magnitude tends to decrease as the frequency increases above 2 KHz. The noise level in this frequency range is 10''''
m/s", and at frequencies above 5 KHz, the vibration component becomes below the noise level and cannot be detected. The shape and configuration of the device to be measured, and the installation of the measurement sensor will vary slightly depending on the location, but It exhibits similar characteristics to that of a grasshopper.

(6) The vibration waveform in the stable state described in item 3 is a steady continuous repeating waveform, and so-called averaging processing in which the results of multiple measurements are averaged is effective in removing unsteady noise vibrations. On the other hand, the waveform in an unstable state has large fluctuations over time, and
The features are not as clear as shown in the figure.

(7) Vibration also occurs when current is applied to a normal contact portion with no current abnormality. This is due to electromagnetic force, magnetostrictive force, induced noise directly induced in the measurement electric circuit, etc. due to the current flowing. These are particularly large in the frequency range below 200Hz.

It is about 10-3 m/sz and cannot be ignored.

Above 200 Hz, the magnitude decreases with increasing frequency. These vibration noises also exhibit a pattern similar to that shown in FIG. 3, with peaks at frequencies that are integral multiples of the frequency of the applied current.

(8) Vibration noise that is not caused by current flow includes internal noise such as the operation of opening/closing parts and the operation of the hydraulic pump in the operating mechanism, and external noise due to contact with other objects, surrounding construction, etc. Both have frequency patterns different from those in FIG. However, its strength may be very large.

By applying the abnormality judgment algorithm and judgment reference values determined in consideration of the characteristics of the vibrations and other vibration noise that occur with the abnormality of current conduction to the vibration measurement technology, it is possible to detect high This can be detected with precision.

〔Example〕

An embodiment of the present invention will be described below with reference to FIG. The figure shows a configuration in which the present invention is applied to a gas circuit breaker 1, in which a vibration sensor 2 is installed as vibration detection means. The circuit breaker 1 has conductors 5, 5' supported in an airtight insulation manner (insulation support member not shown) by bushings 4, 4' and airtight terminals 9, 9' in a tank 3, which is an airtight container at ground potential, and is movable. It is connected to a cutoff section 8 consisting of an electrode 6 and a fixed electrode 7. Outside the circuit breaker 1, the outer conductor 10
．． 10' is connected to a power transmission line or other power transmission/transformation equipment to form a current flow path. Generally, SFe gas is sealed in the tank 3 as an insulating gas at a pressure of about 5 atmospheres. In such a configuration, if an abnormality in conduction occurs somewhere in the conductors 5, 5' or the interrupting part 8 for some reason, the above-mentioned vibration will occur.

In order to detect this, a vibration sensor 2 is installed on the outer wall of the tank 3, and the vibration waveform is constantly measured. As for the mounting method, it is preferable to weld a dedicated boss to the tank 3 and securely fix it with bolts without impairing the frequency characteristics of the sensor 2. If it is a portable type, it is convenient to fix it to the magnetic part of the tank 3 with a magnet, but since the vibration noise due to magnetostrictive force becomes large, fix it to a non-magnetic part such as aluminum or stainless steel with special wax or adhesive. This allows for better detection. The output signal of the acceleration sensor 2 is sent to a frequency analyzer 14 through a cable 11, a preamplifier 12, and a cape/; 13.
sent to. The measurement results converted onto the frequency axis by the frequency analyzer 14 are sent as digital signals (through a cable 15 using a transmission procedure such as PIB) to the abnormality determination device 16. , it is determined whether there is a sharp peak as shown in Figure 3 at an integral multiple frequency of the energizing current frequency, and whether the peak value exceeds a preset judgment reference value, and these conditions are determined. It has a function of issuing an abnormality alarm when the following conditions are satisfied.In a portable system, a human may visually judge by looking at the figure displayed on the screen of the frequency analyzer 14.Such a configuration is used. By this,
During daily maintenance of the abnormality detection device or troubleshooting of the abnormality detection device, all equipment for abnormality detection must be connected to circuit breaker 1.
Since it is installed outside the main engine, there is no need to stop the operation of the main engine, which has the advantage of not impairing the reliability of the main engine.

The detection target according to the present invention is applicable to all conductors that carry current. However, if the current vibration measurement technology is to detect an abnormality, the current must be 100 amperes or more. Below that, the sensitivity of the measuring instrument is insufficient. This method is particularly effective when detecting conductor connections in areas that cannot be seen with the naked eye. For example, it is a conductor connection part in a sealed container or a conductor connection part to which a high voltage is applied. In this sense, it is effective to apply the present invention to abnormality detection of gas-insulated switchgear equipment installed in a sealed container.

FIG. 4 shows an embodiment regarding the sensor installation section.

A vibration sensor 2 is bonded onto a flat surface of a boss portion 4 provided on a tank 3. Sensors used for vibration measurement include displacement sensors, speed sensors, acceleration sensors, etc. Basically, any sensor may be used, but here an acceleration sensor is used because it is easy to handle. As mentioned above, the signal waveform appears below 5 KHz, and vibration noise becomes large below 200 Hz, so the frequency characteristic of the vibration sensor is preferably 5 KHz.
z or more is sufficient, but at worst it is necessary to be able to measure frequency components of 200 Hz or more. The output signal of the vibration sensor 2 is transmitted through the cable 11. Preamplifier 12, cable 13
The signal is connected to an Elo (electro-optical) converter via a fiber optic cable 18 and transmitted to a frequency conversion device. These devices are equipped with a metal shield case that also serves as waterproof.
It is housed in 9. Coaxial cables are usually used for the cables 11 and 13 in order to reduce the influence of induced noise, but this may still cause a problem with the cable 11 having a low signal level. In this embodiment, these are housed in a shield case 19 that also serves as waterproof.

The shield case 19 needs to be a conductor, preferably a magnetic material such as iron, preferably a double structure of a magnetic material such as iron and a good conductor such as copper, which is highly effective. The shield case 19 is attached to the boss portion 4 via a packing 20 that serves both as waterproofing and as vibration isolation against magnetostrictive vibrations generated within the shield case 19.

It is preferable that the shield 19 is connected to the tank 3 through the conductor 11 so that the whole has an equal potential. This is because a switching surge of about 5 KV may occur in the tank 3 when the opening/closing section is operated. At this time, it is preferable to use a battery as the power source for the preamplifier 12 and the E10 converter in terms of noise countermeasures, but if a commercial power source is used, it is preferable to float it with an isolation transformer. In this example, by housing the sensor and preamplifier in one container, the connection cable, which is susceptible to inductive noise, can be made as short as possible, and the effect of the shield can further reduce the influence of inductive noise. It is possible. Furthermore, by making the whole part equipotential, it is possible to improve surge resistance.

FIG. 5 shows the configuration of an embodiment in which an optical fiber cable is applied to the transmission section. The output signal of the vibration sensor 2 attached to the tank 3 is transmitted via the preamplifier 12 to the E10 converter 17, optical fiber cable 18.07E (optical-electrical) converter 12, frequency analyzer 14, and abnormality determination device 16. It is something to do.

By adopting such a configuration, the detection section consisting of the vibration sensor 2 and the preamplifier 12 can be set to a potential independent from other measurement systems as described above, and the surge resistance can be improved by equipotential with the tank 3. In addition to this, it is possible to perform optical transmission basically free from induced noise between the preamplifier 2 and the frequency analyzer, which is a relatively long transmission line of several tens of meters.

Further, even when a plurality of vibration sensors 2 are used to simultaneously monitor multiple points, since each sensor is electrically independent, there is no need to worry about multiple points being grounded.

When constructing such a measurement system, the resolution of the entire system is preferably below the background noise level of 10-15 m/s in the frequency range to be measured, but at worst it must be below 10-2 m/s2. In this case, it is necessary to be careful because it is not possible to detect vibrations that occur due to abnormality in current supply, which is the measurement target of the present invention.When a displacement sensor or a speed sensor is used as the vibration sensor, the resolution is equivalent or higher. You need to make sure that you can obtain the following.

Fig. 6 shows an example in which the vibration sensor part is electrically insulated from the tank, such as when an electrical transmission system is used, and the vibration sensor 2 is bonded to the tank 3 with an insulating plate 13 sandwiched therebetween. .

FIG. 7 shows a different embodiment regarding the determination section.

The signal sent from the detection section is converted back to an electrical signal by the ○/E converter 12, then converted to a digital signal by the A/D (analog/digital) converter 24, and then directly sent to the abnormality determination device 1.
6. The abnormality determination device 16 performs FFT (fast Fourier transform) calculation processing on the captured data,
The desired frequency characteristics can be obtained. Although this method has a slightly slower calculation speed than the method using a dedicated frequency analyzer, it has the advantage that the system can be constructed at low cost.

FIG. 8 shows a configuration in which a data logger 25 capable of high-speed data recording is inserted as a buffer before the abnormality determining device 16 in the previously described embodiment. In order to analyze frequencies up to 5 KHz, it is necessary to record data at a sampling rate of about several tens of microseconds, but depending on the model of the arithmetic device used in the abnormality determination device 16, the recording speed may be insufficient. This embodiment is effective in such a case.

FIG. 9 shows an embodiment in which a large number of detection units are monitored by one set of determination units. An n-channel detection section consisting of a vibration sensor 2 and a preamplifier 12 is connected to an E10 converter 17, respectively.
, an optical fiber cable 18, and an O/E converter 12, which are connected to a determination section consisting of a frequency analyzer 14 and an abnormality determination device 16 via a switch box 26. The switch box 26 can control connection switching by the abnormality determination device 16, and the measurement results of n channels are sequentially switched, frequency analysis, and abnormality determination are performed. By adopting such a configuration, even if the equipment to be detected for anomalies becomes large-scale and multi-point measurement becomes necessary, it is possible to handle this simply by increasing the number of detection parts, and the equipment becomes more efficient. This makes it possible to minimize the increase.

FIG. 10 shows an abnormality determination algorithm of the abnormality determination device. When a series of sequences is started, first, the data acquisition routine 27 acquires frequency-analyzed data. In the embodiment shown in Fig. 5 in which the frequency analyzer is installed separately, the result is taken in by the transmission procedure such as GPIB, and in the embodiment shown in Fig. 7 in which the frequency is analyzed inside the abnormality determination device @16, the result is will be used as is. From the results, a vibration component associated with the energization abnormality is extracted in the feature extraction routine 28, and compared with the reference value obtained in the judgment criterion determination routine 29 in the comparison routine 30, and if it is less than the reference value, the series of sequences is terminated. However, if it is equal to or higher than the reference value, an alarm is issued in the alarm generation routine 31 and the series of sequences ends. With such a configuration, it is possible to issue an alarm when the abnormality progresses gradually and reaches a certain set level.

Examples of the structure of the feature extraction routine are shown in FIGS. 11 and 12. FIG. 11 shows an example of evaluation using relative values, and FIG. 12 shows an example of evaluation using absolute values. In either case, it is necessary to find the quantity A corresponding to the sharp peak value and the quantity B corresponding to the valley value of the frequency analysis results shown in FIG. This is to distinguish between rainy weather and other times when the level remains flat on the frequency axis and increases. The value of A is preferably an integer multiple of a commercial frequency within a predetermined frequency range, preferably an average value of values at even multiple frequencies. It is preferable to set the frequency range between an upper limit of 5 kHz or less, at which vibrations can be detected during abnormal conduction, and a lower limit of 200 Hz or higher, at which vibrations due to electromagnetic force etc. become noticeable.

From experience, it seems best to select a frequency of about 400 Hz to 2 KHz. Therefore, the value of A in this case is that the commercial frequency is 50
Hz 400, 500 ・-1900°200
This is the average value of the vibration level at 0Hz.

There are other methods, such as taking several points in order from the largest peak and taking the average value, or taking a value at a pre-specified frequency, but if appropriate settings are made, the obtained results will not change much. Conversely, for the value of B, the average value is calculated while avoiding the frequency where the peak appears, and in the above example, it is 425.
, 475, 525·1975 Hz.

In FIG. 11, the ratio of the values obtained in this manner is obtained. This is an amount that increases as the energization abnormality progresses. A. Since the sharp peaks shown in Figure 3 do not appear in vibrations caused by other causes.

B increases at the same time, and the resulting calculated value does not become large and no malfunction occurs. At this time, it is appropriate that the criterion value shown in FIG. 10 be about 10 times, and it is necessary to set it to at least 5 times or more. If it is too small, it will cause malfunction. In areas with low environmental noise, the signal level increases relatively, so it is possible to set it to a higher value. In the method shown in FIG. 12, when noise due to rain or the like is large, that is, when the value of B is large, the measured value is excluded from the determination target and the measurement is performed again. With the detection method of the present invention, there is usually a grace period of several tens of days before a ground fault occurs, so even if there is a period when it is not possible to make a determination due to rain, etc., there is no need to be so nervous, and it is possible to prevent malfunctions. has priority. The criterion for determining the B value is determined based on the ambient noise level BGN and the margin α.

It is usually less than 10-4 m/s2, but it varies depending on the environment of a single device, so it is a good idea to actually measure it before installation. It is also effective to provide the device itself with a learning function. The calculated value obtained after this judgment is A, but as in Fig. 11, A/B
It is also possible to substitute the value of . When the calculated value is A, the reference value in Figure 10 is 10-4 to 10-2 m/
It is set within the range of s2. The above method makes it possible to distinguish vibrations caused by the abnormality in energization shown in FIG. 3 from random noises caused by the operation of switching equipment, rainfall, surrounding construction, etc., and determine the abnormality.

FIG. 13 shows an embodiment that is effective for preventing malfunctions and improving the reliability of abnormality detection. In FIG. 10, various judgments 32, 33, and 34 are performed before the data acquisition 27. The first determination 32 is that very large vibrations occur when the cutoff section and disconnection section operate inside the gas insulated switchgear.

Since these operate based on operation command signals, it is possible to eliminate the above-mentioned vibrations from the determination target by determining whether or not these operation signals are being issued prior to abnormality determination.

The second determination 33 is a vibration generated when the hydraulic pump of the operating device is operated, and is generated inside the device as described above, but the duration is as long as several tens of seconds. Since the operating status of these devices can be known by monitoring the voltage of the drive power source, abnormality determination can be avoided during operation. The third determination 34 concerns vibrations entering from outside the target device, particularly those caused by surrounding construction work. A dummy vibration sensor with similar characteristics is installed near the target device, thereby making it possible to detect the magnitude of vibration coming from the outside. If this vibration is large, the abnormality determination work is stopped. When any of these three conditions is met, the same sequence is repeated again via the delay loop 35.

-For boat fishing, practical detection accuracy can be achieved by the method of detecting patterns specific to energization abnormalities using the embodiment shown in Figure 10.
This embodiment avoids abnormality determination when vibration noise is large, which is likely to cause malfunction.

It becomes possible to prevent malfunctions.

FIG. 14 shows a different embodiment in which a high-pass filter 36 is inserted between the O/E converter 12 and the frequency analyzer 14 of the embodiment of FIG. When the degree of abnormality is normal or the degree of abnormality is slight, the detected vibration is due to electromagnetic force etc.
Components below 0 Hz are dominant. Frequency analyzer 14
Due to the dynamic range constraints of , the error becomes large when analyzing very small high frequency components compared to this. By removing the low frequency vibration component with the filter 36, this problem can be eliminated and even signals at the initial stage of an abnormality can be detected with high accuracy.

Averaging processing is another effective method for improving detection accuracy. It is obtained by adding the data together and dividing by the number of additions. Since ordinary frequency analyzers have this function built-in as standard equipment, it is preferable to perform averaging processing 20 times to 100 times.

This eliminates single or irregular vibration components, making it possible to extract only continuous signals such as vibration components associated with energization abnormalities.

Past history information is effective information for improving abnormality detection sensitivity and detection accuracy. For this purpose, it is necessary to record the calculated values extracted as features in the embodiment shown in FIG. 10 or the like in a subsequent step as in the embodiment shown in FIG. 15. To prevent the amount of data from becoming too large, only data is saved at fixed times, which are set several times a day. In consideration of ease of reproduction, it is preferable to use a magnetic disk as the storage medium. In addition to the date and time, measurement site or sensor number, the recorded data includes the peak value, bottom value, quotient thereof, etc. obtained in FIG. 11. If you have sufficient storage capacity, it is helpful to record as many frequency analysis results as possible for later analysis.

In the next step, trends from one month to several months ago are determined and displayed. At this time, it is better to match the current conditions as much as possible, so it is better to compare data measured at the same time. Although there is a lot of variation in the data, there are also many measured values, so it is possible to express the trend numerically by finding the slope using the least squares method. Peak value is 10 per month
-5m/s", you need to be careful. In this case, it will be determined as an abnormality and an alarm will be issued. By doing this, it is possible to detect abnormalities with high sensitivity during the abnormality progression process, and By displaying the trend, when a warning is issued, the monitoring staff can visually confirm the situation and accurately grasp the situation.

〔Effect of the invention〕

According to the present invention, by measuring the vibration that occurs due to abnormality in energization, it is possible to detect energization abnormality with high accuracy and at an early stage of abnormality development without impairing the reliability of the equipment to be detected. This has the effect that gas-insulated switchgear can prevent serious accidents such as ground faults.

[Brief explanation of the drawing]

FIG. 1 is an overall configuration diagram of the present invention, FIGS. 2 and 3 are line diagrams showing phenomena on which the present invention is based, FIG. 4 is a partial sectional view, and FIG. 5 is a block diagram of a different embodiment. FIG. 6 is a front view of main parts, FIGS. 7 to 9 are block diagrams, FIGS. 10 to 13 are flow charts, FIG. 14 is a block diagram, and FIG. 15 is a flow chart. 2... Vibration sensor, 12... Preamplifier, 13...
・Transmission section, 14... Frequency analyzer, 14.16...
- Judgment unit, 16... Abnormality judgment device, 17... E10
Converter, 18... Optical fiber cable 119... Shield case, 12... O/E converter, 13... Insulator, 24... A/D converter, 25... Data recording device , 26・Suitsuhaku 1 diagram store 30 High school 2-Figure (α) -L''- [13!藺(S) 0th ward; L ward 4th ward 15th ward

Claims (1)

[Scope of Claims] 1. In a device that constitutes an electric circuit and carries a large current, a vibration sensor, a preamplifier, a transmission section, and a determination section are connected to a device to be detected that detects an abnormality in conduction that occurs in a conductor contact part. The device is characterized by being equipped with a power abnormality detection device. 2. In claim 1, the vibration sensor is capable of measuring frequency components of 200 Hz or more. 3. The device according to claim 1, wherein the vibration sensor is an acceleration sensor having a measurement range of 200 Hz or more. 4. The device according to claim 1, wherein the vibration sensor and the preamplifier are housed in an integrated conductive shield case. 5. The optical transmission unit according to claim 1, wherein an optical transmission unit including an O/E converter, an optical fiber cable, and an O/E converter is applied to a part of the transmission unit. 6. In claim 1, the vibration sensor, a preamplifier,
The device is characterized in that the resolution of the vibration measurement of the entire abnormality detection device including the transmission section and the determination section is better than 10^-^2 m/s^2. 7. The vibration sensor according to claim 1, wherein the vibration sensor is installed insulated from the device to be measured via an insulator. 8. The device according to claim 1, wherein the determination section comprises a dedicated frequency analysis device and an abnormality determination device. 9. The device according to claim 1, wherein the determination section includes an A/D converter and an abnormality determination device. 10. According to claim 1, the determination section includes an A/D converter, a high-speed data recording device, and an abnormality determination device. 11. The multi-channel detection unit according to claim 1,
A device characterized in that the transmission section is connected to a single abnormality determination device via a switch box. 12. According to claim 1, the vibration component associated with the abnormality in energization is extracted from the frequency analysis result of the vibration waveform, and the extracted vibration component is compared with a determination reference value, and when the vibration component exceeds the determination reference value, an alarm signal is issued. . 13. According to claim 1, the vibration component at the time of abnormal energization is expressed numerically by the ratio of the peak value of the frequency analysis results or their average value and the trough value or these average values. 14. The device according to claim 13, characterized in that the criterion value is 5 or more. 15. Claim 1, characterized in that the vibration component at the time of abnormal energization is a peak value or an average value thereof, excluding values when the valley value becomes large. 16. In claim 15, the criterion value is 10^-^4
It is characterized by being set between ~10^-^2m/s^2. 7. The device according to claim 1, characterized in that the detection range of the vibration component of abnormal energization is set between 200 Hz and 5 KHz. 8. The device according to claim 1, characterized in that measurement results during generation of operating signals of the cut-off portion, the disconnection portion, etc. are excluded from the detection target. 9. The device according to claim 1, characterized in that a measurement result during application of a driving voltage to an internal device such as a hydraulic pump of an operating device is excluded from the detection target. 10. The device according to claim 1, characterized in that measurement results obtained when vibrations are detected by a vibration sensor having similar characteristics installed near the detection target are removed from the detection target. 11. The vibration measurement waveform according to claim 1, wherein the vibration measurement waveform is passed through a high-pass filter to attenuate low frequency components. 12. The device according to claim 1, characterized in that an averaging process is performed on the frequency analysis results. 13. The device according to claim 1, characterized in that the transition of past periodic measurement results can be displayed, the slope thereof is determined, and an alarm is issued when the slope exceeds a preset reference value.