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Negative sequence admittance average based detection of stator winding inter-turn short circuit fault in induction motors

Stator winding inter-turn short circuit fault (SWITSCF) occurs with a comparatively higher probability in induction motors. Based on both numerical simulation and experimental investigation, this paper points out that negative sequence admittance average can be viewed as the feature criterion and utilized to detect the fault. Moreover, this paper determines the relationship between negative sequence admittance average and operating condition of induction motors by utilizing BP neural network technique, as allows to setup appropriate detection threshold. Thus, negative sequence admittance average based detection method of SWITSCF in induction motors is presented in this paper.