Inter Turn Fault Diagnosis in Wound Rotor Induction Machine Using Wavelet Transform

The aim of this project is to present a new method for the early detection of faults in a three-phase wound rotor induction machines. Investigations on different failure modes in variable speed induction machines have revealed that 30-45% is stator related faults. Detection of inter-turn fault has more significance. A MATLAB/SIMULINK model is developed for the three phase induction motor with stator interturn fault and without fault and characteristics are obtained. Some of the characteristics of the motor, which changes when a fault is developed, are to be identified, which can serve as the features for the fault detection. The proposed diagnosis approach is based on the use of wavelet analysis by processing the electrical characteristics under time varying conditions. Hence it should have many advantages over other techniques due to the effectiveness of wavelet transform (WT). The wavelet transform is applied to decompose the original stator current signals into frequency bands.