基于因子分析和支持向量机算法的高压断路器机械故障诊断方法

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Abstract The mechanical state of high voltage circuit breaker can be reflected by its vibration signals during operation. The starting moment of vibration events extracted from the vibration signal can be taken as the characteristic parameter. The factor analysis can optimize and reduce the dimension of the characteristic parameters. The support vector machine(SVM) optimized by particle swarm optimization(PSO) can classify the different states of the circuit breaker. Several mechanical failures of circuit breaker are simulated and the results show that the factor analysis and SVM are suitable for mechanical state diagnosis of high voltage circuit breaker.

Key words： High voltage circuit breaker vibration signal fault diagnosis factor analysis SVM

Received: 06 May 2013 Published: 05 August 2014

PACS:	TM561
	TM507

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	Articles by authors
	Cheng Xu
	Guan Yonggang
	Zhang Wenpeng
	Tang Cheng

Cite this article:

Cheng Xu,Guan Yonggang,Zhang Wenpeng等. Diagnosis Method on the Mechanical Failure of High Voltage Circuit Breakers Based on Factor Analysis and SVM[J]. Transactions of China Electrotechnical Society, 2014, 29(7): 209-215.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I7/209

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