Application of Wavelet Analysis and Artificial Neutral Networks to Flaw Classification in Ultrasonic Non-destructive Testing

As the flaw pulse echo signals were non-stationary in ultrasonic testing,wavelet transform was used for analyzing feature of the flaw signals in ultrasonic testing of high temperature alloy.Features based on power distribution of the decomposed signals were extracted.Finally,a artificial neutral networks classifier was used for the features.Experimental results show that the method is effective.