BROKEN ROTOR BAR FAULT DIAGNOSIS OF INDUCTION MOTOR BY SIGNAL PROCESSING TECHNIQUES

Induction motors finds application in almost every kind of industries all around the world. Although, Induction motors are extremely consistent, they are vulnerable to many types of faults. There are many methods available for detection of faults in Induction Motor but most of the methods require expensive sensor or specialized tools whereas current monitoring out of all does not require additional sensors. The Motor Current Signature Analysis uses the current spectrum of motor for locating characteristic fault frequencies. In the present paper, Matlab software is used to diagnosis the broken rotor fault of induction motor. Fast Fourier Transform (FFT) and Wavelet Transform (WT) are the two signal processing techniques which are used for diagnosis of the broken rotor fault in induction motors. The results and observations obtained are discussed and then final conclusions are made.