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《Journal of Changsha University of Electric Power(Natural Science)》 2004-03
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On-line Detecting Inter-turn Short Circuit in Stator Winding of AC Electrical Machine Based on Fuzzy Neural Network

CHEN Li-ping (Changling Petrochemical Engineering Design Co.Ltd,Yueyang 414012,China)  
The basic principle of on-line detecting inter-turn short circuit in stator winding of AC electrical machine is introduced. When inter-turn short circuit occurs in stator winding, the current park vector module will change, then the location and severity of fault can be made. In order to detect inter-turns accurately, the fault factor is drawn through spectrum analysis, and a diagnosis model of inter-turn short circuit which takes load and three phase voltage unbalance into consideration is constituted based on fuzzy-neural network. The experiment result demonstrates the effectiveness of the method.
【CateGory Index】: TM307
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