Damage Identification of Composite Materials Based on Modified BP Neural Network

A dynamic approach based on modified BPNN for damage identification of composite materials is proposed. By using wavelet series, the features of signals are extracted and input to modified BPNN for training the network and identifying the damages. The results show that the method can exactly identify the faults.