Application of independent component analysis in metal corrosion acoustic emission signal processing

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.