Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform

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• 作者：Bashir Mahdi Ebrahimi^a ; ^{ebrahimibm@ut.ac.ir} ; Jawad Faiz^a ; S. Lotfi-fard^b ; P. Pillay^c
• 关键词：Fault diagnosis ; Induction motors ; Time stepping finite element method ; Wavelet transforms
• 刊名：Mechanical Systems and Signal Processing
• 出版年：2012
• 期刊代码：189_08883270
• 类别：et
• 出版时间：July, 2012
• 卷：30
• 期：Complete
• 页码：131-145
• 文件大小：1206 K

摘要

This paper introduces novel indices for broken rotor bars diagnosis in three-phase induction motors based on wavelet coefficients of stator current in a specific frequency band. These indices enable to diagnose occurrence and determine number of broken bars in different loads precisely. Besides thanks to the suitability of wavelet transform in transient conditions, it is possible to detect the fault during the start-up of the motor. This is important in the case of start-up of large induction motors with long starting time and also motors with frequent start-up. Furthermore, broken rotor bars in induction motor are detected using spectra analysis of the stator current. It is also shown that rise of number of broken bars and load levels increases amplitude of the particular side-band components of the stator currents in the faulty case. An induction motor with 1, 2, 3 and 4 broken bars at the rated load and the motor with 4 broken bars at no-load, 33%, 66%, 100%and 133%rated load are investigated. Time stepping finite element method is used for modeling broken rotor bars faults in induction motors. In this modeling, effects of the stator winding distribution, stator and rotor slots, geometrical and physical characteristics of different parts of the motor and non-linearity of the core materials are taken into account. The simulation results are are verified by the experimental results.