Application of notch filtering under low sampling rate for broken rotor bar detection with DTFT and AR based spectrum methods

This paper demonstrates with experimental results that the use of a lower sampling rate with a notch filter is feasible for motor current signature analysis in broken rotor bar detection with DTFT (discrete time Fourier transform) and AR (auto regressive) based spectrum methods. The use of the lower sampling rate does not affect the performance of the fault detection, while requiring much less computation and low-cost in implementation, which would make it easier to implement in embedded systems for motor condition monitoring.