GIS equipment mechanical fault diagnosis system and method

A technology for mechanical fault and diagnosis system, which is applied in the testing of mechanical components, computer components, and machine/structural components, etc. It can solve the problem of submerged GIS fault features, insufficient fault diagnosis methods of GIS equipment, and vibration spectrum amplitude of equipment load. Changes, etc.

Inactive Publication Date: 2020-09-08
STATE GRID HEBEI ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing GIS equipment fault diagnosis methods have certain deficiencies.
[0005] (1) Existing equipment fault diagnosis methods focus on the diagnosis of insulation faults, and there are very few studies on mechanical faults
[0006] (2) Although the vibration spectrum analysis method has been applied to the field of GIS equipment fault detection, the problem that the vibration spectrum amplitude is easily affected by equipment load changes has not been solved, and the problem that GIS fault characteristics are easily submerged by complex time-domain waveforms also needs to be solved urgently

Method used

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  • GIS equipment mechanical fault diagnosis system and method
  • GIS equipment mechanical fault diagnosis system and method
  • GIS equipment mechanical fault diagnosis system and method

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Embodiment 1

[0032] Such as figure 1 As shown, the present invention discloses a GIS equipment mechanical fault diagnosis system including a vibration sensor 1 and a host computer installed on the GIS equipment shell 3, collecting vibration signals of the GIS equipment shell, decomposing the vibration signals of the GIS equipment shell in layers, and extracting the vibration in layers Lempel-Ziv complexity of the signal and four program modules for diagnosing mechanical faults of GIS equipment based on the random forest classification method. The vibration sensor 1 is wired with the host computer through the data line 2 and communicates in one direction.

[0033] The module for collecting the vibration signal of the shell of the GIS equipment is used for the vibration sensor 1 to obtain the vibration signal of the shell of the GIS equipment and send it to the host.

[0034] The module of layered decomposition of GIS equipment casing vibration signal is used for the host to use EEMD algorit...

Embodiment 2

[0039] Such as figure 2 As shown, the present invention discloses a method for diagnosing mechanical faults of GIS equipment including four steps:

[0040] S1 collects GIS equipment shell vibration signal

[0041] The vibration sensor acquires the vibration signal of the shell of the GIS equipment and sends it to the host.

[0042] The vibration sensor is a vibration sensor with a sampling frequency of 10.08kHz.

[0043] S2 hierarchical decomposition of GIS equipment shell vibration signal

[0044] The host uses the EEMD algorithm to decompose the vibration signal of the GIS equipment shell into layers to obtain the IMF component of the intrinsic mode function, and extract the fault characteristics of the intrinsic mode function IMF of each layer.

[0045] Assuming that the vibration signal of the GIS equipment shell is v(t), the process of using the EEMD algorithm to realize the hierarchical decomposition of the vibration signal is as follows:

[0046] S201 Adding a nois...

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Abstract

The invention discloses a GIS equipment mechanical fault diagnosis system and method, and relates to the technical field of electrical equipment fault diagnosis. The system comprises a vibration sensor, a host and four program modules that are used for collecting GIS equipment shell vibration signals, decomposing the GIS equipment shell vibration signals in a layered mode, extracting the Lempel-Ziv complexity of the vibration signals in a layered mode and diagnosing GIS equipment mechanical faults based on a random forest classification method. The method comprises the following steps: with aGIS equipment shell vibration signal as a characteristic quantity, the vibration signal is decomposed in a layered mode through an EEMD algorithm, more than two layers of IMF components are obtained,the Lempel-Ziv complexity of each layer of IMF component is extracted and serves as a fault detection feature, and GIS equipment mechanical faults are diagnosed through a random forest classificationmethod. Through the vibration sensor, the host, the four program modules and the like, GIS equipment mechanical faults are diagnosed.

Description

technical field [0001] The invention relates to the technical field of electrical equipment fault diagnosis, in particular to a GIS equipment mechanical fault diagnosis system and method. Background technique [0002] GIS gas-insulated metal-enclosed combined electrical equipment has been widely recognized by the power industry because of its advantages of safe operation, environmental protection, long maintenance cycle, and small footprint. High-voltage engineering, indoor or underground substations are widely used. However, with the increase of the operating life, the failure rate of GIS equipment is increasing year by year. According to statistical analysis, the mechanical failure of GIS equipment is slightly more than the insulation failure, accounting for about 39% of the total number of GIS equipment failures. Moreover, limited by the environmental factors of GIS equipment installation, such as indoor, underground, remote location, and atmospheric environmental protec...

Claims

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Application Information

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IPC IPC(8): G01M13/00G01M7/02G01R31/12G06K9/62
CPCG01M13/00G01M7/025G01R31/1281G06F18/24323G06F18/214
Inventor 梁博渊魏刚吴宏波刘振张达刘晓冬刘良帅
Owner STATE GRID HEBEI ELECTRIC POWER RES INST
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