Hahdi Javid - Department of Electrical Power, Faculty of Engineering, Saveh Branch, Islamic Azad University, Iran
Mohammad Javad Rastegar Fatemi - Department of Electrical Power, Saveh Branch, Islamic Azad University, Iran

Using of wavelet transform for monitoring and diagnosis of fault in induction motors is increasingbecause analyzing of the stator is possible in transient conditions by these methods.This method can be used for local analysis in the domain time - frequency or dimension time scale. In thispaper, the detection of hanging load fault in a stator current signal is presented using the Morse wavelet inthe structure of the continuous wavelet transform. In the proposed algorithm, firstly, the stator currentsignal is measured by the sensors, then by analogue-to-digital converter of the relevant signal is sampled ,using the MATLAB software by wavelet transform,The sampling signal is processed. Experimental andpractical results indicate that the method selects the fault with high accuracy and reliability without theneed of complex calculation in a short time, which makes it possible to use it in operation. In this paper, theability to select a wavelet compared to the Bump wavelet is investigated and ultimately the accuracy andability of the selected wavelet are discussed.

Fault detection,Continuous wavelet transform, Induction motor, Wavelet transform,Transient state , Hanging load fault, Signal processing