Feature Extraction of the Acoustic Emission Signals of Low Carbon Steel Pitting Corrosion Based on Independent Component Analysis and Wavelet Transform

Wei Li; Yu Li Gong; Yang Yu

doi:10.4028/www.scientific.net/AMM.373-375.677

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Feature Extraction of the Acoustic Emission...

Feature Extraction of the Acoustic Emission Signals of Low Carbon Steel Pitting Corrosion Based on Independent Component Analysis and Wavelet Transform

Abstract:

Based on the characteristics of the acoustic emission (AE) signals from low carbon steel pitting corrosion, a new extraction method was proposed with wavelet transformation and independent component analysis. The experiment result shows that the new method can overcome the influence induced by the uncertainty of the independent source of low carbon steel pitting corrosion and good extraction result can be achieved.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

677-680

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.677

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Online since:

August 2013

Authors:

Wei Li, Yu Li Gong, Yang Yu

Keywords:

Feature Extraction, Independent Component Analysis (ICA), Wavelet Transformation

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