A Proposed Fault Diagnostics Technique for Induction Motor Stator Winding

Abstract

Online monitoring is widely used for induction motor fault diagnostics. This article presents a fault diagnostics technique for a 3-phase induction machine. The proposed technique was developed with fuzzy logic applied to a simplified induction motor model affected by the stator winding short turns. Based on the 3-phase time-domain model, the machine winding with different fault conditions has been simulated to check the resulting speed, torque, and stator current spectrum in each case. The results indicate that the developed fault diagnostics scheme is efficient to specify the fault type of the induction machines stator.