Paper Title:
The Research Based on Empirical Mode Decomposition in Bearing Fault Diagnosis
  Abstract

Comparing with many modern signal processing methods in the bearing fault diagnosis, Hilbert-Huang transform is proposed which has good resolving power, and is adapt to process non-stationary, nonlinear and no cross-interference signals. Experimental bearing vibration signals have been analyzed by using this method, whose impulse response waveform was effectively separated from the signals. The results show that the sensitivity and reliability of the method are satisfactory.

  Info
Periodical
Edited by
Qiancheng Zhao
Pages
225-228
DOI
10.4028/www.scientific.net/AMM.103.225
Citation
T. L. Xu, X. Z. Lang, X. Y. Zhang, X. C. Pei, "The Research Based on Empirical Mode Decomposition in Bearing Fault Diagnosis", Applied Mechanics and Materials, Vol. 103, pp. 225-228, 2012
Online since
September 2011
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