Application of motor fault detection based on symbolic time series analysis
Hu W(胡为); Wen, Liang; Gao L(高雷); Ye, Jinjiao
2011
会议名称2011 Chinese Control and Decision Conference, CCDC 2011
会议日期May 23-25, 2011
会议地点Mianyang, China
关键词Fault detection Symbolic Time Series Analasys Inter-turn Short Circuit Fuzzy relative entropy
页码710-715
通讯作者胡为
中文摘要An improved method of motor detection based on symbolic time series analysis is proposed, and the method adaptively partition off the region which has the most symbols in the symbolic series into two new regions, which enhances the sensitive degree of symbols to the signal. Except that the fuzzy relative entropy is introduced in the paper to improve the reliability of the diagnosis results. Laboratory experiments of fault diagnosis of inductive motor show that comparing with the uniform partition, the new method is more sensitive to the system and also owns a stronger robustness and a better reliability.
收录类别EI ; CPCI(ISTP)
产权排序3
会议主办者IEEE Control Systems Society (CSS); IEEE Industrial Electronics Society (IES); Automatic Control Society of Chinese Association of Aeronautics; Simul. Methods Model. Soc. Chin. Assoc. Syst. Simul.; Intell. Control Manage. Soc., Chin. Assoc. Artif. Intell.
会议录Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4244-8736-3
WOS记录号WOS:000323234700140
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/19959]  
专题沈阳自动化研究所_工业信息学研究室
推荐引用方式
GB/T 7714
Hu W,Wen, Liang,Gao L,et al. Application of motor fault detection based on symbolic time series analysis[C]. 见:2011 Chinese Control and Decision Conference, CCDC 2011. Mianyang, China. May 23-25, 2011.
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