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Journal of Applied Mathematics
Volume 2013, Article ID 128368, 11 pages
Research Article

Practical Aspects of Broken Rotor Bars Detection in PWM Voltage-Source-Inverter-Fed Squirrel-Cage Induction Motors

Hong-yu Zhu,1,2,3,4 Jing-tao Hu,1,2,3 Lei Gao,1,2,3 and Hao Huang1,3

1Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3Key laboratory of Industrial Information Technology, Chinese Academy of Sciences, Shenyang 110016, China
4School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, China

Received 5 June 2013; Revised 18 September 2013; Accepted 23 October 2013

Academic Editor: Xianxia Zhang

Copyright © 2013 Hong-yu Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Broken rotor bars fault detection in inverter-fed squirrel cage induction motors is still as difficult as the dynamics introduced by the control system or the dynamically changing excitation (stator) frequency. This paper introduces a novel fault diagnosis techniques using motor current signature analysis (MCSA) to solve the problems. Switching function concept and frequency modulation theory are firstly used to model fault current signal. The competency of the amplitude of the sideband components at frequencies () as indices for broken bars recognition is subsequently studied in the controlled motor via open-loop constant voltage/frequency control method. The proposed techniques are composed of five modules of anti-aliasing signal acquisition, optimal-slip-estimation based on torque-speed characteristic curve of squirrel cage motor with different load types, fault characteristic frequency determination, nonparametric spectrum estimation, and fault identification for achieving MCSA efficiently. Experimental and simulation results obtained on 3 kW three-phase squirrel-cage induction motors show that the model and the proposed techniques are effective and accurate.