Investigation of The Effects of Eccentricity on Induction Motor via Multi-Resolution Wavelet Analysis

Abstract

In this paper, a 2.2 kW squirrel cage induction motor having different degrees of static eccentricity is analyzed for fault detection using multi-resolution wavelet analysis (MRWA). The reference squirrel cage induction motor was simulated by using finite element method (FEM) and verified with the test results for the reference. Multi-resolution wavelet analysis was applied to decompose the high frequency components of flux density and current of the induction motor with different levels of eccenctricity. The effects of these components on the torque and vibration characteristics were also examined. The results show that MRWA could be a good alternative to fast fourier transform (FFT) in detecting air gap eccentricity in motors.

Analysis and effect of static eccentricity fault on performance indicators of a synchronous reluctance motor

“…To keep the machine's healthy operation in check, constant monitoring of some performance indicators' characteristics needs to be examined frequently to assess the motor's general performance. Some research work has been established in the areas of modelling, analysing, and detecting the eccentricity fault in induction motors [7][8][9] and permanent magnet motors [10][11][12]. Popular among the techniques applied to calculate the machine inductances are the winding function method (WFM) and the modified winding function method (MWFM).…”