Research on Feature Value Extraction and Fault Recognition of Coil Current Signal in High-voltage Circuit Breaker

SUN Yinshan; ZHANG Wentao; ZHANG Yiming; LI Shaohua; LIU Xiaoqing

doi:10.13296/j.1001-1609.hva.2015.09.023

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Research on Feature Value Extraction and Fault Recognition of Coil Current Signal in High-voltage Circuit Breaker

更新时间：2025-04-26

- Research on Feature Value Extraction and Fault Recognition of Coil Current Signal in High-voltage Circuit Breaker
- High VoltageApparatus Vol. 51, Issue 9, Pages: 134-139(2015)
- 作者机构：
  
  1. 平高集团有限公司
  2. 2. 北京慧智神光科技有限公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.09.023
  CLC： TM561
- Published：2015
- 稿件说明：
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[1]孙银山,张文涛,张一茗,李少华,刘晓清.高压断路器分合闸线圈电流信号特征提取与故障判别方法研究[J].高压电器,2015,51(09):134-139.

SUN Yinshan, ZHANG Wentao, ZHANG Yiming, et al. Research on Feature Value Extraction and Fault Recognition of Coil Current Signal in High-voltage Circuit Breaker[J]. High voltageapparatus, 2015, 51(9): 134-139.
[1]孙银山,张文涛,张一茗,李少华,刘晓清.高压断路器分合闸线圈电流信号特征提取与故障判别方法研究[J].高压电器,2015,51(09):134-139. DOI： 10.13296/j.1001-1609.hva.2015.09.023.

SUN Yinshan, ZHANG Wentao, ZHANG Yiming, et al. Research on Feature Value Extraction and Fault Recognition of Coil Current Signal in High-voltage Circuit Breaker[J]. High voltageapparatus, 2015, 51(9): 134-139. DOI： 10.13296/j.1001-1609.hva.2015.09.023.

摘要

高压断路器分合闸线圈电流信号特征提取在故障识别、检测及诊断方面都有重要的意义。文中提出采用小波分析与时域求极值点相结合的方法来获取高压断路器分合闸线圈电流信号特征值

并根据该特征值对断路器的故障判别方法做了探索性研究。实验结果表明

电流信号特征值提取方法是有效的

故障识别方法正确。

Abstract

The feature value extraction of coil current signal in high-voltage circuit breaker has directly guiding significance in fault recognition

fault diction

fault diagnosis and so on. The combination method of wavelet analysis and the seeking extreme points in time-domain is proposed to obtain the feature values of coil current signal. According to the feature values

the fault discrimination of high-voltage circuit breaker is investigated experimentally. The experimental analysis proves the validity of the proposed extraction method and the correctness of the fault recognition method.

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