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Motor broken-bar fault diagnosis based on Park vector and wavelet neural network
Zhang QX(张庆新); Jin, Li; Li, Haibin; Liu, Chong
作者部门工业信息学研究室
会议名称2011 International Conference on Advanced Research on Advanced Structure, Materials and Engineering, ASME 2011
会议日期December 24-25, 2011
会议地点Beijing, China
会议主办者International Science and Education Researcher Association (ISER); Beijing Gireida Education Research Center; VIP-Information Conference Center
会议录名称Advanced Materials Research
出版者Trans Tech Publications
出版地Clausthal-Zellerfeld, Germany
2011
页码163-166
收录类别EI
EI收录号20115114617401
产权排序1
ISSN号1022-6680
ISBN号978-3-03785-299-6
关键词Computer Simulation Computer Software Electric Fault Currents Failure Analysis Matlab Natural Frequencies Parks Stators Vectors Wavelet Analysis Wavelet Decomposition
摘要In the technology of motor fault diagnosis, current monitoring methods have become a new trend in motor fault diagnosis. This paper presents a motor fault diagnosis method based on Park vector and wavelet neural network. This method uses the stator current as the object of study. Firstly, it uses Park vector to deal with the stator current and filter out fundamental frequency component, thus the characteristics component of motor broken-bar will be separated from fundamental frequency component; Secondly, it uses five layers wavelet packet decomposition to pick up fault characteristic signal; Finally, we distinguish the fault by BP neural network, and use the simulation software of MATLAB to realize it. The test results show that: This method can detect the existence of motor broken-bar fault, and has a good value in engineering.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/9884
专题信息服务与智能控制技术研究室
作者单位1.Automation Department, Shenyang Aerospace University, Shenyang, 110136, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
推荐引用方式
GB/T 7714
Zhang QX,Jin, Li,Li, Haibin,et al. Motor broken-bar fault diagnosis based on Park vector and wavelet neural network[C]//International Science and Education Researcher Association (ISER); Beijing Gireida Education Research Center; VIP-Information Conference Center. Clausthal-Zellerfeld, Germany:Trans Tech Publications,2011:163-166.
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