基于小波分析和随机森林算法的变流器电路故障诊断研究

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Abstract Aiming at the fault characteristics of power electronic devices in converter, using wavelet threshold method to reduce the noises of the collected data, diagnosing the fault classification of converter circuit with random forests, and making a comparison with single random forests diagnosis method. The testing results show that the method owns good ability to resist noises and high accuracy, the effect is obvious when the interference noise is large. The new method has high application value to solve the problem of power electronic circuit fault diagnosis.

Key words： converter circuit wavelet threshold random forests fault diagnosis

Published: 22 June 2016

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	Articles by authors
	Li Mingkun
	Song Danni

Cite this article:

Li Mingkun,Song Danni. Fault Diagnosis Method of Converter Circuit base on Wavelet Analyze and RF Algorithm[J]. Electrical Engineering, 2016, 17(6): 36-40.

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http://dqjs.cesmedia.cn/EN/Y2016/V17/I6/36

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