Induction motor bearing fault identification using vibration measurement

Condition monitoring and fault diagnosis of equipment and processes are of great concern in industries. Early fault detection in machineries can save money in emergency maintenance cost. Therefore, it is necessary to fault detection of various parts of the machine. In this paper we present the detection of running speed frequency and bearing defect frequencies of an induction motor using vibration data through the wavelet transform and the Hilbert transform. Bearing defect frequencies are frequencies at which roller elements pass over a defect point. The analysis result shows that the proposed method can diagnose faulty bearing.