Yongxing WANG
Associate Professor Supervisor of Master's Candidates
Gender:Male
Alma Mater:Darmstadt University of Technology
Degree:Doctoral Degree
School/Department:Department of Electrical Engineering
Discipline:Electrical Machines and Apparatus. High Voltage and Insulation Technology
Business Address:A3/31
E-Mail:yxwang@dlut.edu.cn
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Indexed by:Journal Papers
Date of Publication:2018-05-30
Journal:电器与能效管理技术
Issue:10
Page Number:45-49,59
ISSN No.:2095-8188
Key Words:最小二乘-支持向量机;航空故障电弧;故障电弧诊断;特征向量
Abstract:将最小二乘-支持向量机算法(LS-SVM)应用于航空故障电弧的识别中,构建了LS-SVM分类器.从提取的故障电弧信息得到特征向量,作为LS-SVM的输入向量,对LS-SVM分类器进行训练和测试,并对线性负载、非线性负载和未知负载的航空故障电弧进行了识别.结果表明,所提算法能有效识别是否发生故障电弧,但是对于电弧故障具体类型的判断还有待于改进提高.
