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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 330-333

Analysis of Pulsed Magnetic Flux Leakage Signal Based on Wavelet Denoising

††††††† Xiaojun Wang, Keqin Ding, Hongzhu Wang, and Na Zhao

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Pulsed magnetic flux leakage (PMFL) has become research focus, for its more deep penetration to detect surface and subsurface flaws. As the peak value and the inflexion pointís arrival time of the detection signal reveal the structure of tested material, signal processing of detection signal become a one of the most crucial step of the procedures. The paper seeks to present an effective method to surpass the noise and reconstruct the receiving signal but retain the detail information as much as possible. Wavelet theory and common methods with different thresholds for denoising are presented. The result have illustrated the wavelet denoising approach has better performance in reconstruction of original signal.

Index Terms

pulsed magnetic flux leakage (PMFL), signal processing, wavelet, threshold denoising

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