EMD and Zoom Envelope Spectrum for Rolling Bearing Fault Diagnosis

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Abstract:

ntrinsic mode function component (IMF) has been effectively decomposed by using empirical mode (EMD) decomposition method, and the high-frequency resonance frequency band the rolling bearing components is extracted. Then the high frequency component of the IMF is shifted to the lower frequency by using real frequency modulation principle, and a new envelope refining spectrum is obtained through the Hilbert transform after low frequency sampling. The method not only simplifies the design of band-pass filtering process but improves refinement computational efficiency of the envelope spectrum. The method verifies the correctness of the theory and practical method through the analysis of the fault diagnosis of rolling bearing inner ring experiment.

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Periodical:

Advanced Materials Research (Volumes 791-793)

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841-844

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jun Pi, jianjun Wang. Tractor & Farm Transporter, 2003, (5): 10-12, (In Chinese).

Google Scholar

[2] Qiuhua Du, Shunian Yang. Bearing, 2004, (3): 31-34, (In Chinese).

Google Scholar

[3] Dongfeng Shi, Ming Bao, Liangsheng Qu. China Mechanical Engineering, 2000, 11(12): 1382-1385, (In Chinese).

Google Scholar

[4] Shi Xianjiang, Si Junshan and Shao Junpeng. Zoom Envelope Method Based on the Real Modulation and Its Application in the Fault Diagnosis[C]. WCICA'08, The 7th Word Congress on Intelligent Control and Automation, 2008: 2757-2760.

DOI: 10.1109/wcica.2008.4593361

Google Scholar

[5] Kang Ding, Liqi Jiang. Mechanical Science and Technology, 2000, 19(5): 722-725, 728, (In Chinese).

Google Scholar

[6] Yonggang Xu, Zhengjia He and Taiyon Wang. Journal of Xi'an Jiaotong University, 2004, 38(11): 1169-1172, 1185, (In Chinese).

Google Scholar

[7] Qiang Gao, Xiaoshan Du and Hong Fan et. al. Journal of Vibration Engineering, 2007, 20(1): 15-18, (In Chinese).

Google Scholar

[8] Hanming Zhu, Yonghong Tan. Journal of Shanghai Normal University (Natural Sciences), 2011, 40(3): 254-258, (In Chinese).

Google Scholar