电力电子变流器故障诊断的智能方法综述

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Abstract As one of the cores of energy conversion, the fault diagnosis technology of power electronic converters provide a strong guarantee for energy safety and reliable conversion. The intelligence methods which are applied widely for fault diagnosis of power electronic converters, including fault tree analysis, artificial neural network, support vector machine, fuzzy set theory and information fusion, etc, are reviewed in this paper. First of all, the basic concepts of these intelligent methods are briefly expounded. Then from the research status of power electronics fault diagnosis, the characteristics and shortcomings of various intelligent methods are briefly analyzed. Finally, combining with the difficulties in current fault diagnosis of power electronic circuits, explored new ideas for the future development in this field.

Key words： power electronic converters fault diagnosis intelligent technology

Received: 08 August 2018 Published: 19 March 2019

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	Articles by authors
	Chen Shican
	Lin Qiongbin
	Chen Sixiong
	Cai Fenghuang
	Wang Wu

Cite this article:

Chen Shican,Lin Qiongbin,Chen Sixiong等. Review on intelligence fault diagnosis in power electronic converters[J]. Electrical Engineering, 2019, 20(3): 6-12.

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http://dqjs.cesmedia.cn/EN/Y2019/V20/I3/6

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