Denoising in Steel Structural Impulsive Vibration Signal Based on Independent Component Analysis

Abstract:

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The analysis of structure vibration signals is influenced by noise mixed in the signals. Independent component analysis (ICA) method is introduced to denoise the vibration signals in this paper. The representative algorithms: FastICA and JADE are told in detail. The algorithms are applied to separate steel structural vibration signals. The denoising performances in impulsive vibration signals generated by steel structure demonstrate the effectiveness and good robustness of ICA method.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1337-1341

DOI:

10.4028/www.scientific.net/AMR.219-220.1337

Citation:

J. H. Cao and Z. B. Wei, "Denoising in Steel Structural Impulsive Vibration Signal Based on Independent Component Analysis", Advanced Materials Research, Vols. 219-220, pp. 1337-1341, 2011

Online since:

March 2011

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Price:

$35.00

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