Fault detection of motor's inter-turnshort circuit based on BP neural network. (10th July 2012)

• Record Type: Journal Article
• Authors: Wang, Zhenzhou; Han, Ming; Liu, Peng; Liu, Jiaomin
• Is Part Of: International journal of modelling, identification and control. Volume 16:Number 3(2012)
• Page Start: 234
• Page End: 240
• Publication Date: 2012-07-10
• Subjects: inter-turn short circuit -- detection coil -- electromotive force -- BP neural network; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

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.