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...

書誌詳細
出版年:	Neural Computing and Applications
第一著者:	2-s2.0-84888823881
フォーマット:	論文
言語:	English
出版事項:	2013
オンライン･アクセス:	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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