Single Parameter Fault Identification Technique for Three Phase Induction Motor through Wavelet Analysis and Fuzzy Logic

Abstract

Three phase squirrel cage induction motors are the major power consuming device in houses and small scale industries. So, fault identification is very much essential for three phase induction motors to increase its life time and also to reduce its power consumption. There are many conventional techniques and soft computing techniques available for fault identification in three phase squirrel cage induction motors. Recent work has been carried out to find the faults in three phase induction motors by entropy based wavelet analysis of startup transient current. The entropy based wavelet analysis has disadvantage compared to norm based wavelet analysis while quantifying the fault. In this paper, fuzzy logic and norm based wavelet analysis of startup transient current is proposed to identify and quantify the faults such as broken rotor bar and bearing fault in three phase induction motors. The proposed work identifies the fault using norm based discrete wavelet transform and quantifies the level of the fault with the help of fuzzy logic. The results are verified by doing simulation using MATLAB. Practical verification is also done using 2Hp three phase induction motor.