Composite damage identification based on lamb wave and redundant second generation wavelet

Aiming at achieving composite materials damage identification of Structure Health Monitoring (SHM), an preprocessing algorithm of Redundant Second Generation Wavelet (RSGW) considering neighboring coefficients is introduced, which can denoises Lamb wave signals from noise flooding and structure complexity conditions for damage features extraction and further calculations. The practicability is validated through experiment operated in composite damage monitoring system.