This paper draws a comparative study of the induction motor stator current using Fast Fourier Transform (FFT) and Wavelet transform. The FFT is one of the most popular and oldest techniques used in signal processing to extract the frequency contents of the signal in the steady state. However, it suffers a drawback that in the process of extracting frequency information; the time information gets partially lost. This drawback is compensated by the wavelet transform. This is a new technique which is gaining popularity in many fields of science and engineering. In this paper, a single phase induction motor stator current signal data has been analyzed using FFT and Wavelet in the latest MATLAB environment. It has been shown that these two transform techniques reveals different aspects of a same stator current signal.

Motor Current Signature Analysis (MCSA), FFT, Wavelet Transform, Current Sensor, Analogue to Digital Converter (ADC), Induction Motor, Condition Monitoring.
How to Cite this Article?
Sahni, J, K, Sahay, K, and Singh, S (2016), Comparative Study of Induction Motor Stator Current Using FFT and Wavelet, i-manager’s Journal on Digital Signal Processing, 4(4), Oct -Dec 2016, 1-7.
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