Fault detection of motor's inter-turn short circuit based on BP neural network

Author: Wang Zhenzhou   Han Ming   Liu Peng   Liu Jiaomin  

Publisher: Inderscience Publishers

ISSN: 1746-6172

Source: International Journal of Modelling, Identification and Control, Vol.16, Iss.3, 2012-07, pp. : 234-240

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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.