Rolling Element Defect Diagnosis Based on Local Mean Decomposition

Abstract:

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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

Info:

Periodical:

Edited by:

Huixuan Zhang, Ye Han, Fuxiao Chen and Jiuba Wen

Pages:

33-37

DOI:

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

Citation:

T. He et al., "Rolling Element Defect Diagnosis Based on Local Mean Decomposition", Applied Mechanics and Materials, Vols. 117-119, pp. 33-37, 2012

Online since:

October 2011

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Price:

$35.00

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