Research on Method of Feature Extraction and Fault Diagnosis Based on Vibration Signal for High Voltage Circuit Breaker Mechanism Characteristics

LI Bin; LI Shuang; LU Xuchen

doi:10.13296/j.1001-1609.hva.2015.10.022

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Research on Method of Feature Extraction and Fault Diagnosis Based on Vibration Signal for High Voltage Circuit Breaker Mechanism Characteristics

更新时间：2025-04-26

- Research on Method of Feature Extraction and Fault Diagnosis Based on Vibration Signal for High Voltage Circuit Breaker Mechanism Characteristics
- High VoltageApparatus Vol. 51, Issue 10, Pages: 138-144(2015)
- 作者机构：
  
  国网辽宁省电力有限公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.10.022
  CLC： TM561
- Published：2015
- 稿件说明：
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[1]李斌,李爽,鲁旭臣.高压断路器机械特性振动信号特征提取和故障诊断方法研究[J].高压电器,2015,51(10):138-144.

LI Bin, LI Shuang, LU Xuchen. Research on Method of Feature Extraction and Fault Diagnosis Based on Vibration Signal for High Voltage Circuit Breaker Mechanism Characteristics[J]. High voltageapparatus, 2015, 51(10): 138-144.
[1]李斌,李爽,鲁旭臣.高压断路器机械特性振动信号特征提取和故障诊断方法研究[J].高压电器,2015,51(10):138-144. DOI： 10.13296/j.1001-1609.hva.2015.10.022.

LI Bin, LI Shuang, LU Xuchen. Research on Method of Feature Extraction and Fault Diagnosis Based on Vibration Signal for High Voltage Circuit Breaker Mechanism Characteristics[J]. High voltageapparatus, 2015, 51(10): 138-144. DOI： 10.13296/j.1001-1609.hva.2015.10.022.

摘要

针对高压断路器机械振动信号

在正常状态、分闸弹簧单根脱落状态和操作及传动机构卡涩状态下

采用模糊C聚类分析算法比较短时傅里叶变换、小波包能量熵和希尔伯特—黄变换3种特征提取方法的分类性能

提出了基于相关向量机理论的断路器机械特性故障诊断方法

搭建了数据采集系统

研究了断路器机械特性不同状态下信号特征值的变化规律

并通过实验证明了特征提取和故障诊断方法的有效性。

Abstract

According to mechanical vibration signal of high circuit breaker

it has adopted the fuzzy C clustering analysis algorithm to compare performance of three kinds of feature extraction methods of the short time Fourier transform

wavelet packet energy entropy

Hilbert-Huang transform in normal condition of circuit breaker

opening spring single take off and mechanism unsmooth of operating and transmission. It has been proposed the diagnosis method based on relevance vector machine theory for circuit breaker mechanical characteristic. It has constructed the acquisition system

and researched on the change rule of signal eigenvalue under different status of circuit breaker. It has been tested and verified that the effectiveness of feature extraction and fault diagnosis method.

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Related Institution

Xi’an High Voltage Apparatus Research Institute Co., Ltd.

School of Automation Science and Electrical Engineering, Beihang University

Shandong Taikai High Voltage Switchgear Co., Ltd.

Lijiang Power Supply Bureau of Yunnan Power Grid Co., Ltd.

School of Automation, Northwest University of Technology

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