标题:Fault diagnosis of motor based on mutative scale back propagation net evolving fuzzy Petri nets
作者:Gong, Maofa ;Song, Honghe ;Tan, Juwen ;Xie, Yunxing ;Song, Jian
作者机构:[Gong, Maofa ;Song, Honghe ] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China;[Xie, Yun 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:3826-3829
DOI:10.1109/CAC.2017.8243447
摘要:Aiming at the problem of slow convergence and local optimum in motor fault diagnosis, a new method of motor fault diagnosis based on fuzzy petri net was proposed, in order to improve the accuracy of fuzzy petri network diagnosis system, the mutative scale back propagation(BP) algorithm was used to optimize the network parameters, then the classification of several kinds of motor faults were completed by the optimized fuzzy Petri nets. The case analysis shows that the proposed method can effectively distinguish the fault types and has some practical value.
© 2017 IEEE.
收录类别:EI
资源类型:会议论文
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