Detection of Eccentricity and Broken Rotor Bar Faults by Means of Monitoring of Current and Magnetic Flux Density Spectrums

Abstract

In this paper, faults detection and classification using motor current signature analysis (MCSA) and monitoring of magnetic flux density in air-gap of the machine is presented. A series of simulations using the models of three phase cage induction motor performed in different fault condition, such as static, dynamic and mixed eccentricity and broken rotor bars. Designed models were implemented with the help of finite element method to provide data that makes it possible to diagnose presence of any type of fault, as well as to analyze obtained and calculated results. Models were designed on the basis of characteristics and parameters of real motor. The results are illustrated in the form of graphs that makes visible illustration for effectiveness of the used diagnosis method.