Paper Title:
Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition
  Abstract

The paper uses empirical mode decomposition to extract the fault feature of gearboxes. Traditional techniques fail to process the non-stationary and nonlinear signals. Empirical mode decomposition is a powerful tool for the non-stationary and nonlinear signal analysis and has attracted considerable attention recently. First, a simulation signal is used to measure the performance of the empirical mode decomposition method. Then, the empirical mode decomposition method is applied to analyze the signals captured from the gearbox with multiple faults and successfully extracts the multiple fault information from the collected signals. The results show that empirical mode decomposition could be a helpful method for mechanical fault feature extraction.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 5: Computer-Aided Design in Materials Engineering
Edited by
Wu Fan
Pages
1376-1380
DOI
10.4028/www.scientific.net/AMR.383-390.1376
Citation
C. H. Dou, "Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition", Advanced Materials Research, Vols. 383-390, pp. 1376-1380, 2012
Online since
November 2011
Authors
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Price
$32.00
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