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...
| 出版年: | Neural Computing and Applications |
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| 第一著者: | |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
2013
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| 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 |