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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Neural Computing and Applications
المؤلف الرئيسي:	2-s2.0-84888823881
التنسيق:	مقال
اللغة:	English
منشور في:	2013
الوصول للمادة أونلاين:	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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