Rolling Element Defect Diagnosis Based on Local Mean Decomposition

Tian He; Xian Dong Liu; Ying Chun Shan; Qiang Pan

doi:10.4028/www.scientific.net/AMM.117-119.33

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 117-119Rolling Element Defect Diagnosis Based on Local...

Rolling Element Defect Diagnosis Based on Local Mean Decomposition

Abstract:

A method to extract rolling element fault characteristics from fault signal, based on local mean decomposition (LMD) and Fourier transform (FT), is introduced in this study. The LMD’s characteristics are obtained by processing multi-component frequency and amplitude modulation signal, which are usually used to describe the bearing fault signals. Base on the simulation analysis, the envelope spectrum method called LMD-FT is presented to deal with the vibration signals of rolling balling bearing with element fault. The results show that the rolling element defect can be diagnosed by LMD-FT effectively

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Periodical:

Applied Mechanics and Materials (Volumes 117-119)

Pages:

33-37

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.117-119.33

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Online since:

October 2011

Authors:

Tian He, Xian Dong Liu, Ying Chun Shan, Qiang Pan

Keywords:

Fault Diagnosis, Local Mean Decomposition (LMD), Rolling Element Bearing

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