Stator Faults Diagnosis and Protection in 3-Phase Induction Motor Based on Wavelet Theory

Abstract

Induction motor faces various stresses during operation conditions. The conditions of monitoring, diagnosis of faults and protection become needful in order to avert tragic failures. The stator winding faults are usually related with insulation failures which are generally known inter turn, line-to-ground, line-to-line and loss phase faults. Discrete and packet wavelet transforms can be employed to extract certain features for induction motor line currents to diagnosis between the healthy and faulty conditions and detect the type of fault. This paper proposes a current signature from the second level of decomposition ( and . The mother wavelet is chosen according to mean square error (MSR) technique, while the optimal level of resolution is chosen according to non-normalized Shannon entropy criterion. The Matlab-simulation results reflect that the proposed signature method has the ability to detect and discriminate the fault within quarter cycle (using Laptop computer,Windows_7,Matlab_R2010a).