Induction Motor Fault Diagnosis Using Wavelets and FFT

Abstract

This paper introducea a protection scheme based on Fast Fourier transform  along with Wavelet Multi Resolution Analysis for detection and classification of various faults like Stator turn fault, Locked rotor and rotor broken bars faults of a 3-Ø Asynchronous induction motor and the motor is represented with distributed high-frequency universal model which is validated over a wide range of operating frequencies. The simulation model has been to be simulated using MATLAB/Simulink software and tested for various types of Induction motor faults. The 3-Ø stator currents signals are decomposed by using debauchies5 (db5) mother wavelet. Fault index is defined by using maximum value of the absolute peak value of the highest level (d1) coefficients. In order to detect the faults the fault index   is compared with a predefined threshold

Keywords: Fast Fourier transform, Wavelet Multi Resolution Analysis, Fault index, Threshold