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:会议论文
Date of Publication:2013-10-20
Included Journals:EI、CPCI-S、Scopus
Abstract:A diagnosis method for the aviation fault arc is proposed in this paper, which is a multi-input weights direct determination (WDD) network. Characteristics of arc current are used for aviation arc fault detection. Arc fault samples are acquired with the help of a self-made arc generator. Feature vectors are obtained from the current of the samples with the wavelet transforming. After training, the fault diagnosis network is verified with the test samples. The result shows that the method has a better performance for aviation fault arc recognition with a simple algorithm.
