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Issue title: 20th International Symposium on Applied Electromagnetics and Mechanics
Guest editors: Theodoros Theodoulidis, Christos Antonopoulos, Nikolaos Kantartzis, Ioannis Rekanos and Theodoros Zygiridis
Article type: Research Article
Authors: Liu, Zhengshuaia | Li, Yonga; | Su, Bingjiea | Ren, Shutinga | Ren, Yanzhaoa | Chen, Zhenmaoa
Affiliations: [a] State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi Engineering Research Centre of NDT and Structural Integrity Evaluation, School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China
Correspondence: [*] Corresponding author: Yong Li, State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi Engineering Research Centre of NDT and Structural Integrity Evaluation, School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China. E-mail: yong.li@mail.xjtu.edu.cn
Abstract: In this paper, the imaging and evaluation of defects hidden within the stratified conductor via pulse-modulation eddy current testing (PMEC) is intensively scrutinised through theoretical and experimental investigation. Following the proposition regarding the optimal excitation signal of PMEC, a fused signal feature integrating the harmonic and pulsed characteristics of PMEC signals is proposed in an effort to further enhance the testing sensitivity and signal-to-noise ratio (SNR). By comparing with the features of conventional PMEC and pulsed eddy current testing (PEC), the superiority of the fused feature is identified via theoretical simulations. This is subsequently supported by the corrosion imaging results obtained from the experiments, further indicating the advantage of the fused feature over traditional features in terms of testing sensitivity and SNR.
Keywords: Pulse-modulation eddy current testing, feature fusion, defect imaging and evaluation, testing sensitivity, signal-to-noise ratio
DOI: 10.3233/JAE-220163
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 71, no. S1, pp. S283-S293, 2023
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