DAMAGE DETECTION OF THE COMPOSITE MATERIALS BASED ON WAVELET PACKETS

An approach to feature extraction and recognition of the characteristic signal in the field of the damage detection of the composite materials is studied by thewavelet packets that disintegrate the signal into different frequency bands.These features are fed into the wavelet neural network as the input patterns for training and classifying.The experiments are conducted to demonstrate the feasibility of the proposed method.