Application of Novel Subspace Pursuit on Guided Wave Signal Recognition Based on Modified Differential Evolution Algorithm

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Abstract:

A kind of novel subspace pursuit method is proposed to reduce the complexity of subspace pursuit. The modified differential evolution algorithm (MDEA) is applied to the modified subspace pursuit (MSP) by choosing chirplet function as match atoms. A steel pipe with holes is detected by guided wave and the measured signal is decomposed and reconstructed by MSP. The matched result is compared to the process result from MP with DEA. The SNR of the processed signal is improved obviously, and the defect echo can be identified easily. The matched parameters get by MSP and MP are compared and analyzed. The Wigner-Ville distribution (WVD) of the detection signal and its matched result are computed and compared. The WVD of the detection signal is enhanced after processed by MSP. The defect locations and the center frequency of the excitation signal are more exactly get from MSP than from MP. The computation time by MSP is a little longer than by MP. Therefore, MSP is a useful signal recognition and defect location approach for pipes guided wave NDT.

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Advanced Materials Research (Volumes 546-547)

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708-713

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July 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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