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| A New Online Fault Detection Method for Broken Rotor Bars in Induction Motor Considering Effects of Load Mutation |
| JIANG Guo-qian,REN Xiao-ru,HE Qun,XIE Ping,DU Shuo,REN Zong-hao |
| Key Lab of Measurement Technology and Instrumentation of Hebei Province, School of Electrical Engineering,Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract When the broken rotor bar fault occurs in induction motors, the induced fault characteristic frequency components are easily masked by the fundamental frequency, and even worse, the interference caused by motor load mutation greatly increases the difficulty in extracting and detecting the fault characteristic frequency. In order to solve the issue, the analytic wavelet analysis and the stator current spectral subtraction method are combined to propose a new effective fault detection method. Firstly, the analytic wavelet is employed to determine the location and the load mutation and then the spectral subtraction operation is performed to eliminate current fundamental component and highlight fault characteristic frequencies. Furthermore, two indicators are defined to quantify fault levels of broken rotor bars. Simulation and experimental results show that the proposed method is more sensitive to fault characteristic frequency in the case of load mutation, meanwhile, describes the rotor fault severity quantitatively.
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Received: 20 December 2016
Published: 05 September 2018
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Corresponding Authors:
XIE Ping
E-mail: pingx@ysu.edu.cn
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2018, Vol. 39 
