Trends in Electrical Engineering

Detection of Eccentricity Fault for Induction Motor

  1. Kalpana Sheokand
  2. Neelam Turk

Abstract

The study shows that 80% of faults are because of eccentricity in induction motors, advancing numerous research endeavors still gave to the eccentricity in these motors. In this paper, an asynchronous motor under static and dynamic eccentricities with various load levels is modeled utilizing using finite element method (FEM) as FEM is utilized as an intense numerical technique for analysis of defective induction motors. The simulation outcomes demonstrate that due to non-uniform air gap, flux distortion will occur that cause distortion in torque, flux, voltage and power in terms of fluctuations and mechanical vibrations The simulation work was directed utilizing a three phase 5kW, 415V rating induction motor is composed utilizing Rmxpert and Maxwell transient approach is used for FEM analysis.Keywords: Eccentricity, fault diagnosis, induction motor, maxwell 2DCite this ArticleKalpana Sheokand, Neelam Turk. Detection of Eccentricity Fault for Induction Motor. Trends in Electrical Engineering. 2018; 8(2): 19–32p.
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