Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection

Nan Pan; Xing Wu; Yi Lin Chi; Liu Chang; Xiao Qin Liu

doi:10.4028/www.scientific.net/AMM.130-134.2128

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134Application of Frequency-Domain Blind...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

2128-2132

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.2128

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Online since:

October 2011

Authors:

Nan Pan, Xing Wu, Yi Lin Chi, Liu Chang, Xiao Qin Liu

Keywords:

Complex-Domain FastICA, Fault Detection, Frequency-Domain Blind Deconvolution, Vibration Signal Processing

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References

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