Research on Motion Analysis and Fault Diagnosis of Contact System of AC Contactor

被引：0
|
作者：
Liu S. [1 ]
Song J. [1 ]
Liu Y. [1 ]
Cao Y. [1 ]
Li J. [1 ]
机构：
[1] Key Lab of Special Electric Machine and High Voltage Apparatus State, Shenyang University of Technology, Shenyang
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2021年 / 36卷
关键词：
AC contactor; Fault diagnosis; Least squares support vector machine based on particle swarm optimization (PSO-LSSVM); Modified multi-scale permutation entropy (MMPE); Moment of energy;
D O I：
10.19595/j.cnki.1000-6753.tces.L90315
中图分类号：
学科分类号：
摘要：
In order to solve the problem of low recognition rate in the current fault diagnosis technology of AC contactor contact system, this paper proposes a new method based on particle swarm optimization (PSO) based on modified multi-scale permutation entropy (MMPE) and energy moment. The least squares support vector machine (LSSVM) based on PSO can effectively improve the recognition rate of AC contactor contact system. The experimental data show that the proposed method can effectively identify the operation status of AC contactor, and can more effectively complete the qualitative diagnosis of AC contactor fault, and can effectively guide and targeted equipment maintenance and repair. © 2021, Electrical Technology Press Co. Ltd. All right reserved.
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页码：477 / 486
页数：9
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