Paper Title:
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

  Info
Periodical
Chapter
Chapter 1: The Basic of Mechanics and Research Methods
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, X. D. Liu, Y. C. Shan, Q. Pan, "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
$32.00
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