Abstract :
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Now a days the Motor Current Signature
Analysis (MCSA) is considered as the most popular
fault detection method because it can easily detect the
common machine fault such as Rotor faults, Stator
faults, Inverter faults , Dynamic eccentricity, Short
winding, Bearing & gearbox failure.The present paper
discusses the fundamentals of Motor Current Signature
Analysis (MCSA) and condition monitoring of the
brushless DC motor using MCSA with different signal
processing techniques such as FFT, STFT, wavelet
transform(WT). Motor current signature analysis
(MCSA) can effectively detect abnormal operating
conditions in BLDC motor.
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