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Abstract
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Article Information:
Application of Novel Subspace Pursuit on Guided Wave NDT Signal Decomposition and Recognition Based on Improved Evolutionary Algorithm
Chuanjun Shen, Yuemin Wang, Yan Liu, Fangjun Zhou and Fengrui Sun
Corresponding Author: Chuanjun Shen
Submitted: May 01, 2012
Accepted: June 08, 2012
Published: November 01, 2012 |
Abstract:
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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.
Key words: Guided wave , modified differential evolution, modified subspace pursuit, signal decompositionand recognition, , ,
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Cite this Reference:
Chuanjun Shen, Yuemin Wang, Yan Liu, Fangjun Zhou and Fengrui Sun, . Application of Novel Subspace Pursuit on Guided Wave NDT Signal Decomposition and Recognition Based on Improved Evolutionary Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (21): 4469-4473.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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