A Rolling Bear Fault Diagnosis Method Based on Improved LMD and Order Analysis

Hui Juan Yuan; Jia Qi; Hong Mei Li; Jun Zhong Li; Xue Jiang; Jian Fu

doi:10.4028/www.scientific.net/AMM.530-531.256

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531A Rolling Bear Fault Diagnosis Method Based on...

A Rolling Bear Fault Diagnosis Method Based on Improved LMD and Order Analysis

Abstract:

This document explains and demonstrates how to predict the fault point of rolling bear. Rolling bearing vibration signals are decomposed by the LMD method to get several single components including amplitude modulation and frequency modulation signals. Combing the order analysis method can get the fault point of rolling bear.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

256-260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.256

Citation:

Cite this paper

Online since:

February 2014

Authors:

Hui Juan Yuan*, Jia Qi, Hong Mei Li, Jun Zhong Li, Xue Jiang, Jian Fu

Keywords:

Instantaneous Frequency, LMD, Order Analysis, PF, Rolling Bear

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* - Corresponding Author

References

[1] Junsheng Chen, Kang Zhang, Yu Yang: Mechanism and Machine Theory, 2012(55): 67-76.

Google Scholar

[2] Shuangxi Jing, Jiayu. Fang and Huirong Meng: Journal of Vibration Engineering. Vol. 13(2000), pp.290-295.

Google Scholar

[3] Weifang Zhu, Heming Zhao and Xiaoping Chen: Acta Electronica Sinica. Vol. 40(2012), p.1909-(1912).

Google Scholar

[4] Junsheng Cheng, Dejie. Yu ang YuYang: China Mechanical Engineering. Vol. 15( 2004), pp.1861-1864.

Google Scholar

[5] Smith J S. in: The local mean decomposition and its application to EEG perception data. Journal of the Royal Society Interface, Vol. 2(2005), pp.443-454.

DOI: 10.1098/rsif.2005.0058

Google Scholar

[6] Daqian. Ren. in: Study of methods and system for fault characteristics extractuin of rotating machines based on local mean decomposition, edtied by Zhejiang University, (2008).

Google Scholar

[7] Junsheng Cheng, Meili Shi andYu Yang. in: Base on LMD and neural network of rolling bearing diagnosis. Journal of vibration and shock. Vol. 29(2010), pp.141-144.

Google Scholar

[8] http: /csegroups. case. edu/bearingdatacenter/pages/download-data-file.

Google Scholar