中国电机工程学报2017，Vol.37Issue(23)：7040-7046,7.DOI:10.13334/j.0258-8013.pcsee.161394
基于自适应权重证据理论的断路器故障诊断方法研究
Research of Circuit Breaker Fault Recognition Method Based on Adaptive Weighted of Evidence Theory
赵书涛 1王亚潇 1孙会伟 1魏瑶1
作者信息
- 1. 华北电力大学电气与电子工程学院,河北省保定市071003
- 折叠
摘要
Abstract
The circuit breaker operates with a sharp vibration and sound signal.In this paper,a circuit breaker mechanical fault method based on adaptive weight was proposed.Firstly,wavelet packet was used to decompose the vibration and sound signal of multi-sensor.Then the characteristic entropy could be extracted and put into LIBSVM(A Library for Support Vector Machines) to obtain the basic probability assignment.The status classification accuracy was applied to the weight adaptive assignment.Finally,the basic reliability of multi-signal weighting was integrated by using D-S (Dempster Shafer) evidence theory.Different status including normal,sticking,pedestal loosing and break rejecting could be recognized.According to the identification experiments,the evidence theory of adaptive weight can effectively improve the accuracy of fault type diagnosis of the circuit breaker in the case of evidence conflict avoidance.关键词
支持向量机/自适应权重/证据理论/故障诊断Key words
SVM/adaptive weight/evidence theory/fault recognition分类
信息技术与安全科学引用本文复制引用
赵书涛,王亚潇,孙会伟,魏瑶..基于自适应权重证据理论的断路器故障诊断方法研究[J].中国电机工程学报,2017,37(23):7040-7046,7.
