Paper Title:
Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection
  Abstract

On the basis of summing up the Frequency-Domain Blind Deconvolution (FDBD), a method combine Complex-Domain FastICA algorithm and amplitude correlation was proposed to extract the typical defect signals from mechanical equipment. The application in combined failure rolling bearing acceleration signals demonstrate that, comparing with the existing Time-Domain Blind Signal Processing methods, FDBD has more advantages and better prospects in mechanical fault detection.

  Info
Periodical
Edited by
Han Zhao
Pages
2128-2132
DOI
10.4028/www.scientific.net/AMM.130-134.2128
Citation
N. Pan, W. Xing, Y. L. Chi, L. Chang, X. Q. Liu, "Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection", Applied Mechanics and Materials, Vols. 130-134, pp. 2128-2132, 2012
Online since
October 2011
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