Simulation Research on a System of Impact Damage Detection for Composite Material Using Wavelet Neural Network Liu Quan Jiang Xuemei Prof.,School of Information Engineering, WUT,Wuhan 430070,China.A system of impact damage detection for composite material structures by using an intelligent sensor embedded in composite material is described in this paper. In the course of signal processing, because Wavelet transform has the exceptional property of temporal frequency localization, whereas neural networks have excellent characteristics of self learning and fault tolerance. By combining their good merits in this system, it can properly recognize impact damage places of composite material and improve the speed and accuracy of impact damage detection. Simulation for impact damage detection for composite material shows that this approach is feasible.intelligent sensor; composite material; damage detection; wavelet transform; neural network