A WAVELET BASED DIAGNOSIS AND CLASSIFICATION OF RACEWAY DEFECTS IN BEARINGS OF AN INDUCTION MOTOR

This paper addresses the method for the diagnosis and classification of bearing defects in an induction motor. The normal current of the running motor and voltage of the respective phase is used as the medium for the analysis. The method uses discrete wavelet transform as a tool for the classification of the faults. The proposed method is independent of the loading conditions of the motor and therefore analysis can also be done on the no load condition of motor. The proposed method can reliably distinguish between the inner race defect and the outer race defects of the bearings. The application of the same method is advantageous to detect an incipient fault of the bearing in its early stage.