Application of Empirical Mode Decomposition to ACFM Signal

Ya Tian Gao; Li Hua Wang; Xiu Jie Miao; Jian Cheng Leng

doi:10.4028/www.scientific.net/AMR.889-890.761

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 889-890Application of Empirical Mode Decomposition to...

Application of Empirical Mode Decomposition to ACFM Signal

Abstract:

In order to reduce noise disturbance of alternating current field measurement (ACFM) signals in crack defects detection, a new noise cancellation method called empirical mode decomposition (EMD) was proposed. A butt welded plate specimen was inspected and measured by a hand-held ACFM probe and a TSC AMIGO instrument. The original ACFM signal was first decomposed into different intrinsic mode functions (IMFs) and a residue, and some IMFs containing useful information were subsequently reconstructed based on correlation coefficients. The experimental results show that the reconstructed ACFM signals B_x and B_z, and butterfly plot can characterize crack defects more accurately, demonstrating the feasibility and effectiveness of the proposed method.

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Periodical:

Advanced Materials Research (Volumes 889-890)

Pages:

761-765

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.889-890.761

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Online since:

February 2014

Authors:

Ya Tian Gao, Li Hua Wang, Xiu Jie Miao, Jian Cheng Leng

Keywords:

Alternating Current Field Measurement, Crack Defects, De-Noising, Empirical Mode Decomposition (EMD), Nondestructive Characterization

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