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GIS equipment mechanical fault diagnosis method and system

A technology for mechanical faults and diagnostic methods, applied in neural learning methods, computer parts, instruments, etc., to solve problems such as inability to accurately diagnose mechanical faults

Active Publication Date: 2021-01-05
ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]Aiming at the above defects or improvement needs of the prior art, the present invention provides a mechanical fault diagnosis method and system for GIS equipment, the purpose of which is to solve the problem that the prior art cannot Technical issues of accurate diagnosis of mechanical failures that occur

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

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Experimental program
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Embodiment 1

[0040] A method for diagnosing mechanical faults of GIS equipment, such as figure 1 shown, including the following steps:

[0041] S1. Collect the vibration signal generated when the GIS equipment to be tested is running, and perform normalization processing on the vibration signal; after the normalization processing, the data conforms to the standard overall distribution, which can improve the convergence speed and classification accuracy of the subsequent deep learning model, and prevent the model gradient explosion, improving the accuracy of diagnostic results;

[0042] Specifically, in this embodiment, the vibration signal on the outer casing of the circuit breaker in the GIS is mainly collected; when collecting the vibration signal generated when the GIS device to be tested is running, the vibration signal within a period of time is first collected, and then the vibration signal is collected as a GIS device. The period of the internal electromagnetic force is divided int...

Embodiment 2

[0066] A mechanical fault diagnosis system for GIS equipment, comprising: a vibration signal acquisition module, a vibration signal processing module, a fault diagnosis model training module and a mechanical fault diagnosis module;

[0067] The vibration signal acquisition module is used to collect vibration signals generated by the operation of the GIS equipment to be tested in the diagnosis stage, and output them to the mechanical fault diagnosis module; in the training stage, the vibration signals generated by the operation of different GIS equipment under different working conditions are collected. Collect and output to the fault diagnosis model training module;

[0068] The vibration signal processing module is used to standardize the vibration signal and calculate its significance sequence; wherein, the significance sequence is a time series representing the change trend of the original vibration signal;

[0069] The fault diagnosis model training module is used to input...

Embodiment 3

[0073] A computer-readable storage medium, where the computer-readable storage medium includes a stored computer program, wherein when the computer program is run by a processor, a device where the storage medium is located is controlled to execute one of the methods provided in Embodiment 1 of the present invention. A mechanical fault diagnosis method for GIS equipment. The related technical solution is the same as that of Embodiment 1, and details are not repeated here.

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Abstract

The invention discloses a GIS equipment mechanical fault diagnosis method and system, and the method comprises the following steps: S1, collecting a vibration signal generated during the operation ofto-be-detected GIS equipment, and carrying out the standardization of the vibration signal; S2, calculating a significance sequence of the obtained vibration signals subjected to standardization processing, wherein the significance sequence is a time sequence representing the change trend of the original vibration signal; and S3, inputting the obtained significance sequence into a pre-trained GISequipment fault diagnosis model to obtain the operation state of the to-be-detected GIS equipment, wherein the GIS equipment fault diagnosis model is a convolutional neural network. According to the method, the distinction degree of the fault signals is improved by calculating the significance sequence of the vibration signals generated when the GIS equipment operates; and the convolutional neuralnetwork is adopted as a fault diagnosis model of the GIS equipment, and the saliency sequence of the GIS equipment is identified, so that the judgment of the specific fault type of the GIS equipmentcan be accurately completed.

Description

technical field [0001] The invention belongs to the technical field of GIS equipment fault diagnosis, and more particularly, relates to a mechanical fault diagnosis method and system of GIS equipment. Background technique [0002] Gas insulated switchgear (GIS) is an indispensable device in today's power system, and is widely used in high-voltage and ultra-high-voltage fields. The equipment encloses circuit breakers, isolating switches, grounding switches, transformers, arresters, bus bars, connectors and outgoing terminals in a metal grounded casing, and fills the interior with a certain pressure of sulfur hexafluoride (SF6) insulating gas. According to a large number of data, more than half of the major accidents in the power system are caused by a single equipment failure. In recent years, the amount of GIS equipment and equipment has gradually increased rapidly, and its reliability is related to the safe operation of the power grid; at the same time, the State Grid Cor...

Claims

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Application Information

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IPC IPC(8): G01H17/00G06K9/00G06N3/04G06N3/08
CPCG01H17/00G06N3/08G06N3/045G06F2218/08G06F2218/12
Inventor 李永祥付铭梅杰齐用卡朱明李艳鹏刘志翔杨罡马丽强陈青松罗传仙江翼黄勤清
Owner ELECTRIC POWER RES INST STATE GRID SHANXI ELECTRIC POWER