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

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 219-220)

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1337-1341

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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20][40](ms) (mv) Observed Signal.

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5][10](ms) (mv) Separated Signal (a) (b) Fig.5 Observed signal of impulse and random Fig.6 Separated signal of impulse and random.

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