Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection

Abstract:

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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 et al., "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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Price:

$35.00

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