Review for AI-based Open-circuit Faults Diagnosis Methods in Power Electronics Converters

被引:0
|
作者
Liu C. [1 ]
Kou L. [1 ]
Cai G. [1 ]
Zhao Z. [2 ]
Zhang Z. [3 ]
机构
[1] School of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, Jilin Province
[2] State Grid Xinyuan Fengman Training Center, Jilin, 132108, Jilin Province
[3] Department of Electrical Engineering, Technical University of Denmark, Lyngby
来源
关键词
Artificial intelligence (AI); Data-driven; Faults diagnosis; Faults location; Open-circuit faults; Power electronics converters;
D O I
10.13335/j.1000-3673.pst.2019.2427
中图分类号
学科分类号
摘要
Power electronics converters have been widely used in aerospace system, DC transmission, distributed energy, smart grid and so forth, and their reliability has been a hot spot in academia and industry. It is of great significance to carry out power electronics converters open-circuit faults monitoring and intelligent fault diagnosis to avoid secondary faults, reduce time and cost of operation and maintenance, and improve the reliability of power electronics system. Firstly, the faults features of power electronic converters are analyzed and summarized. Secondly, some AI-based fault diagnosis methods and application examples with power electronics converters are reviewed, and a fault diagnosis method based on the combination of random forests and transient fault features is proposed for the three-phase power electronics converters. Finally, the future research challenges and directions of AI-based fault diagnosis methods are pointed out. © 2020, Power System Technology Press. All right reserved.
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页码:2957 / 2970
页数:13
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