Fault Diagnosis of Vacuum Circuit Breaker Based on Multi-sensor for Vibration Signals of Fusion

QI He1; ZHAO Zhi-zhong1; LI Zhen-hua2; ZHAO Su-wen3

doi:10.13296/j.1001-1609.hva.2013.02.013

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Fault Diagnosis of Vacuum Circuit Breaker Based on Multi-sensor for Vibration Signals of Fusion

更新时间：2025-04-26

- Fault Diagnosis of Vacuum Circuit Breaker Based on Multi-sensor for Vibration Signals of Fusion
- High VoltageApparatus Vol. 49, Issue 2, Pages: 43-48+54(2013)
- 作者机构：
  
  1. 河北工业大学电磁场与电器可靠性省部共建重点实验室
  2. 天津水利电力机电研究所
  3. 天津航海仪器研究所
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2013.02.013
  CLC： TM561.2
- Published：2013
- 稿件说明：
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[1]齐贺,赵智忠,李振华,赵素文.基于多传感器振动信号融合的真空断路器故障诊断[J].高压电器,2013,49(02):43-48+54.

QI He1, ZHAO Zhi-zhong1, LI Zhen-hua2, et al. Fault Diagnosis of Vacuum Circuit Breaker Based on Multi-sensor for Vibration Signals of Fusion[J]. High voltageapparatus, 2013, 49(2): 43-48+54.
[1]齐贺,赵智忠,李振华,赵素文.基于多传感器振动信号融合的真空断路器故障诊断[J].高压电器,2013,49(02):43-48+54. DOI： 10.13296/j.1001-1609.hva.2013.02.013.

QI He1, ZHAO Zhi-zhong1, LI Zhen-hua2, et al. Fault Diagnosis of Vacuum Circuit Breaker Based on Multi-sensor for Vibration Signals of Fusion[J]. High voltageapparatus, 2013, 49(2): 43-48+54. DOI： 10.13296/j.1001-1609.hva.2013.02.013.

摘要

根据真空断路器故障诊断特点

提出了小波包、RBF神经网络与D-S证据理论相结合的决策层信息融合诊断方法。首先

运用小波包—能量谱分析方法对振动信号进行分解处理

提取特征向量

并以此作为诊断的依据;其次

建立神经网络模型

以特征向量为RBF神经网络的输入

进行断路器初步故障诊断;然后将诊断结果作为对各种故障模式的基本概率分配值

利用D-S证据理论

实现对初步诊断结果的融合

从而得到最终的融合诊断结果。实验结果表明

该方法诊断真空断路器故障能取得良好的效果。

Abstract

According to the characteristics of fault diagnosis for vacuum circuit breaker

a decision level information fusion diagnosis method is presented by using wavelet packet

RBF neural network and D-S evidence theory.Firstly

according to the method of wavelet packet-energy spectrum

vibration signals are decomposed and extracted feature vector as a basis for diagnosis;Then

neural network model is established

and the initial diagnosis results are obtained through the RBF neural network;Finally

the diagnosis results are used as the basic probability distribution value to each fault mode

and the D-S evidence theory is applied

and the final fusion diagnosis results are obtained.The experiment shows that the proposed method is effective to diagnose the faults of vacuum circuit breakers.

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