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