标题:A new approach to fault diagnosis of three-phase full-bridge rectifier with integrated feature extraction
作者:Zhang, Jiansheng ;Song, Baoye ;Zhao, Huadong
通讯作者:Song, Baoye
作者机构:[Zhang, Jiansheng ;Song, Baoye ;Zhao, Huadong ] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingd 更多
会议名称:2017 Chinese Automation Congress, CAC 2017
会议日期:October 20, 2017 - October 22, 2017
来源:Proceedings - 2017 Chinese Automation Congress, CAC 2017
出版年:2017
卷:2017-January
页码:6817-6821
DOI:10.1109/CAC.2017.8244005
摘要:This paper is concerned with the fault diagnosis of three-phase full-bridge rectifier. A new approach is proposed to extract the fault features in both frequency and time domain. The integrated features are used for the training of an LM-BP neural network, which is then applied for the fault classification. The simulation experiments are implemented on the fault diagnosis model built in MATLAB/Simulink, and the success of the approach has been confirmed by the simulation results.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
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