Mechanical Fault Diagnosis Technology Research of High-voltage Circuit Breaker Based on the Vibration Signal Characteristic

ZHONG Jian-ying; LIU Yang; LIN Xin; GUO Yu-jing

doi:10.13296/j.1001-1609.hva.2013.09.009

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Mechanical Fault Diagnosis Technology Research of High-voltage Circuit Breaker Based on the Vibration Signal Characteristic

更新时间：2025-04-26

- Mechanical Fault Diagnosis Technology Research of High-voltage Circuit Breaker Based on the Vibration Signal Characteristic
- High VoltageApparatus Vol. 49, Issue 9, Pages: 49-54(2013)
- 作者机构：
  
  1. 河南平高电气股份有限公司
  2. 沈阳工业大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2013.09.009
  CLC： TM561
- Published：2013
- 稿件说明：
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[1]钟建英,刘洋,林莘,郭煜敬.基于振动信号特征的高压断路器机械故障诊断技术研究[J].高压电器,2013,49(09):49-54.

ZHONG Jian-ying, LIU Yang, LIN Xin, et al. Mechanical Fault Diagnosis Technology Research of High-voltage Circuit Breaker Based on the Vibration Signal Characteristic[J]. High voltageapparatus, 2013, 49(9): 49-54.
[1]钟建英,刘洋,林莘,郭煜敬.基于振动信号特征的高压断路器机械故障诊断技术研究[J].高压电器,2013,49(09):49-54. DOI： 10.13296/j.1001-1609.hva.2013.09.009.

ZHONG Jian-ying, LIU Yang, LIN Xin, et al. Mechanical Fault Diagnosis Technology Research of High-voltage Circuit Breaker Based on the Vibration Signal Characteristic[J]. High voltageapparatus, 2013, 49(9): 49-54. DOI： 10.13296/j.1001-1609.hva.2013.09.009.

摘要

以ZW-32型永磁机构断路器为研究对象

搭建了断路器动作时振动信号监测平台

采集了操动机构常见故障状态下的振动数据。利用小波包—特征熵提取了振动信号特征值

并建立了基于相关向量机原理的操动机构故障诊断模型

实现了对断路器振动状态的在线监测及故障类型的智能辨别。试验结果表明

该方法具有较高的故障识别能力

对实现断路器机械状态的在线监测与故障诊断有一定的工程实用价值。

Abstract

Considering a circuit breaker with ZW-32 type permanent magnetic actuator as the subject

the monitoring system platform of vibration signal generated in the implement process of circuit breaker is built

and the vibration data under common fault status of the operating mechanism is collected.The wavelet packet and characteristic entropy are used to extracted the vibration signal eigenvalue.Based on the principle of relevant vector machine

the fault diagnosis model of operating mechanism is also built.Meanwhile

the online monitoring of vibration in circuit breaker and the intelligent diagnosis of fault types are realized.The test results show that the method has a high ability on fault recognition and has some practical value on the realization of the on-line monitoring and fault diagnosis in the implement process of circuit breaker.

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Related Institution

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