Motor broken-bar fault diagnosis based on Park vector and wavelet neural network

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 信息服务与智能控制技术研究室

	Motor broken-bar fault diagnosis based on Park vector and wavelet neural network
	Zhang QX(张庆新); Jin, Li; Li, Haibin; Liu, Chong
	2011
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
关键词	Computer simulation Computer software Electric fault currents Failure analysis MATLAB Natural frequencies Parks Stators Vectors Wavelet analysis Wavelet decomposition
页码	163-166
中文摘要	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.
收录类别	EI
产权排序	1
会议主办者	International Science and Education Researcher Association (ISER); Beijing Gireida Education Research Center; VIP-Information Conference Center
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications
会议录出版地	Clausthal-Zellerfeld, Germany
语种	英语
ISSN号	1022-6680
ISBN号	978-3-03785-299-6
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/9884]
专题	沈阳自动化研究所_信息服务与智能控制技术研究室
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]. 见:2011 International Conference on Advanced Research on Advanced Structure, Materials and Engineering, ASME 2011. Beijing, China. December 24-25, 2011.