电力电子变流器故障诊断的智能方法综述  

Review on intelligence fault diagnosis in power electronic converters

作　　者：陈诗灿 林琼斌[1,2] 陈四雄 蔡逢煌[1,2] 王武[1,2] Chen Shican;Lin Qiongbin;Chen Sixiong;Cai Fenghuang;Wang Wu(College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116;Kehua Hengsheng Electric Power Electronic Technology Research Center,Fuzhou University, Fuzhou 350116)

机构地区：[1]福州大学电气工程与自动化学院,福州350116 [2]福州大学-科华恒盛电力电子研究中心,福州350116

出　　处：《电气技术》2019年第3期6-12,共7页Electrical Engineering

基　　金：福建省自然科学基金(2016J05154);福建省教育厅科技项目(JAT160067);科华恒盛科技创新基金助项目(KHHS20170416)

摘　　要：电力电子变流器作为能源变换的核心之一,其故障诊断技术为能源安全可靠转换提供了有力保障。本文综述了当前电力电子变流器故障诊断常用的智能算法,其中包括故障树分析、人工神经网络、支持向量机、模糊集理论及信息融合方法等。首先简单阐述了这些智能方法的基本概念,然后基于电力电子故障诊断领域的研究现状,对各种智能方法的特点和存在的不足做了简单分析,最后结合当前电力电子电路故障诊断领域的难点,探讨该领域未来研究的新思路。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.

关 键 词：电力电子变流器 故障诊断 智能算法 

分 类 号：TM46[电气工程—电器]