Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors

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Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors

In this paper, an application of the motor current signature analysis (MCSA) method and the fuzzy min-max (FMM) neural network to detection and classification of induction motor faults is described. The finite element method is employed to generate simulated data pertaining to changes in the stator...

书目详细资料
发表在:	Neural Computing and Applications
主要作者:	2-s2.0-84888823881
格式:	文件
语言:	English
出版:	2013
在线阅读:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888823881&doi=10.1007%2fs00521-012-1310-x&partnerID=40&md5=9272e6687636688d386392b7ecd74b1b

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