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GIS mechanical fault live detection system based on acoustic imaging

A technology for mechanical failure and live detection, which is applied in radio wave measurement systems, testing of mechanical components, re-radiation of sound waves, etc., can solve the problem of difficult selection of measuring point locations, no longer applicable acoustic diagnosis technology, and poor anti-interference ability of acoustic signals And other issues

Pending Publication Date: 2019-06-21
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER COMPANY +2
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AI Technical Summary

Problems solved by technology

Conventional acoustic diagnostic techniques are mainly based on single-channel measurement, which can only obtain the law of the local acoustic characteristics of the machine as a function of time or frequency
Moreover, the anti-interference ability of the acoustic signal is poor, especially in the coherent sound field, the location of the measuring point is not easy to choose
If the measuring point is not selected properly, the local acoustic features are not sensitive to the fault; if the acoustic signal of the fault source is annihilated by the acoustic signal of the interference source, the conventional acoustic diagnosis technology will no longer be applicable

Method used

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  • GIS mechanical fault live detection system based on acoustic imaging
  • GIS mechanical fault live detection system based on acoustic imaging
  • GIS mechanical fault live detection system based on acoustic imaging

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Embodiment Construction

[0012] Acoustic imaging is based on microphone array measurements and visualizes the distribution of sound sources in space. Acoustic imaging technology can dig out the distribution pattern of the radiation sound field under different fault states, and extract the characteristic quantities sensitive to the fault mode, so it can locate and identify mechanical faults more effectively. The system of the present invention uses acoustic imaging technology for the detection of GIS mechanical faults. Since the background noise of the GIS environment is relatively large, the noise frequency of equipment such as transformers is also concentrated at the frequency multiplier of 100 Hz, so the omnidirectional microphone cannot accurately collect GIS. noise signal. An array of directional sound intensity microphone probes is used to measure the sound intensity signal of the equipment to be tested and reconstruct the sound field distribution of the equipment enclosure. Proposing a GIS mech...

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Abstract

The invention relates to a GIS mechanical fault live detection system based on acoustic imaging. The system comprises a sound intensity measuring unit, an acquisition module and a test host which aresuccessively connected. The sound intensity measuring unit comprises a semicircular metal rack. The semicircular metal rack is provided with five groups of sound intensity probes along a circumferencedirection. Each group of sound intensity probe is a P-P type sound intensity probe formed by two sound intensity microphone sensors. After trial, through using the method of the invention, a state ofan operated GIS device can be assessed and fault diagnosis can be given.

Description

technical field [0001] The invention relates to a GIS mechanical fault live detection system based on acoustic imaging. Background technique [0002] As one of the most important equipment in the power system, gas-insulated fully enclosed combined electrical equipment (GIS) shoulders the dual tasks of control and protection. to serious harm. Mechanical failure is one of the main failure types of GIS, accounting for about 39.3%. In addition, most of the gas leakage is caused by mechanical failure, and some mechanical failures will eventually induce partial discharge. According to the statistical investigation of high-voltage circuit breaker faults conducted by the International Large Power Grid Conference and China Electric Power Research Institute, most of the faults of circuit breakers (70% of major faults and 86% of minor faults) occur in mechanical mechanisms, mainly involving operating mechanisms, Monitoring devices and auxiliary devices, etc. Therefore, the detectio...

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Application Information

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IPC IPC(8): G01M13/00G01R19/145G01S15/06
Inventor 吴旭涛李秀广闫振华朱洪波张庆平汲胜昌马波何宁辉周秀郝金鹏师愉航丁培马云龙刘世涛亓亮倪辉沙伟燕
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER COMPANY
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