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| Fault Feature Extraction of Rolling Bearing Incipient Fault Based on Improved Singular Value Decomposition and EMD |
| MENG Zong,GU Wei-ming,HU Meng,XIONG Jing-ming |
| Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract To extract fault characteristics from the original signal is hard. For this reason, a novel integrated of incipient fault diagnosis method is presented based on the principle of the improved singular value decomposition(SVD) and empirical mode decomposition(EMD). Firstly, based on multi-resolution singular value decomposition, the original signal is decomposed into approximation and detail signals with different resolution. Then the noise in approximation signal is eliminated by using difference spectrum of singular value. The signal after de-noising is decomposed by EMD and a group of Intrinsic Mode Functions (IMF) is obtained. The IMFs were demodulated with Hilbert transform, and envelope spectrum at each band was obtained, through these procedures the faint feature information can be extracted. The effectiveness of this method is confirmed by the experiment of rolling bearing inner race incipient fault.
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Received: 02 April 2015
Published: 31 May 2016
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Corresponding Authors:
Zong MENG
E-mail: mzysu@ysu.edu.cn
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2016, Vol. 37 
