Paper Title:
Ensemble Empirical Mode Decomposition for Machine Health Diagnosis
  Abstract

Ensemble Empirical Mode Decomposition (EEMD) is a new signal processing technique aimed at solving the problem of mode mixing present in the original Empirical Mode Decomposition (EMD) algorithm. This paper investigates its utility for machine health monitoring and defect diagnosis. The mechanism of EEMD is first introduced. Parameters that affect effectiveness of the EEMD are then discussed with the assistance of a simulated signal in which the mode mixing exists. Experimental study on bearing vibration signal analysis verified its effectiveness of EEMD for machine health monitoring and defect diagnosis.

  Info
Periodical
Key Engineering Materials (Volumes 413-414)
Edited by
F. Chu, H. Ouyang, V. Silberschmidt, L. Garibaldi, C.Surace, W.M. Ostachowicz and D. Jiang
Pages
167-174
DOI
10.4028/www.scientific.net/KEM.413-414.167
Citation
J. Zhang, R. Q. Yan, R. X. Gao, "Ensemble Empirical Mode Decomposition for Machine Health Diagnosis", Key Engineering Materials, Vols. 413-414, pp. 167-174, 2009
Online since
June 2009
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Price
$32.00
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