Detection of induction motor faults using direct wavelet transform technique

This paper presents a fault detection techniques using direct wavelet transform (DWT). This fault identification technique identifies the time and type the faults occurred in an induction motor. Faults detection demonstrated in this paper include stator winding short circuit, stator winding open circuit and speed sensor fault. Both computer simulation and experimental results are presented. These results verified that DWT is a feasible technique to detect faults so that appropriate control actions can be initiated to achieve optimum output.