Application of Novel Subspace Pursuit on Guided Wave NDT Signal Decomposition and Recognition Based on Improved Evolutionary Algorithm

In this study, we propose and apply a kind of novel subspace pursuit method to guided wave Non-Destructive Testing (NDT) signal decomposition and recognition to reduce the complexity of subspace pursuit. Modified Differential Evolution Algorithm (MDEA) is applied to the Modified Subspace Pursuit (MSP) by choosing chirplet function as match atoms. A steel pipe with hole and notch is detected by guided wave and the measured signal is decomposed and reconstructed by MSP. The matching result is compared to the matching result from MP with DEA. The defect echo can be identified easily from the processed signal. The matched parameters get by MSP and MP are compared and analyzed. The defect locations are more exactly get from MSP than from MP.