Fault detection of motor's inter-turn short circuit based on BP neural network
by Zhenzhou Wang; Ming Han; Peng Liu; Jiaomin Liu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 16, No. 3, 2012

Abstract: The induced electromotive force signals of air gap were sampled by detection coil's electromotive. Fault mechanism of inter-turn short circuit was analysed. Then we constructed a math model. Performance and parameter characteristics of armature winding's air gap electromotive were analysed by BP neural network algorithm, and applied into inter-turn short circuit's treatment process, and then we constructed the fault detection system of motor's inter-turn short circuit. The system realises fault diagnosis and can find fault slot's location.

Online publication date: Wed, 17-Dec-2014

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