DocumentCode :
2699722
Title :
Application of independent component analysis in metal corrosion acoustic emission signal processing
Author :
Cheng, Yang ; Yang, Nengjun ; Yang, Xiaolin ; Wu, Yufeng
Author_Institution :
Dept. 501, Xi´´an High-Tech Res. Inst., Xi´´an, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
648
Lastpage :
650
Abstract :
The basic principle of the independent component analysis and the calculus steps of the FastICA algorithm were investigated, the corrosion test program of LF3 aluminum alloy was developed. The wavelet analysis was used to denoise the test acoustic emission signals, then the signals were separated by independent component analysis and the separation effect was good. It shows the great applicable potential of the independent component analysis in the processing of acoustic emission signals.
Keywords :
acoustic emission; acoustic signal processing; aluminium alloys; corrosion testing; independent component analysis; mechanical engineering computing; metals; signal denoising; source separation; wavelet transforms; FastICA algorithm; LF3 aluminum alloy; calculus step; corrosion test program; independent component analysis; metal corrosion acoustic emission signal processing; signal denoise; signal separation effect; wavelet analysis; Acoustic emission; Corrosion; Independent component analysis; Signal processing; Signal processing algorithms; Wavelet analysis; Wavelet transforms; acoustic emission; corrosion; independent component analysis; signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246316
Filename :
6246316
Link To Document :
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