Damage Identification of Pipeline Based on Ultrasonic Guided Wave and Wavelet Denoising
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 4
Abstract
Guided wave technology shows excellent capacity in the damage identification of the pipeline. In practical inspection, the detection ability is greatly reduced due to the interference echo signal from the feature structure in the pipeline. In this paper, the propagation models of guided wave in straight pipe and pipe with feature structures are established, and the effect of feature structure on the guided wave echo signal is analyzed, including pipe with an elbow, ring joint, and accessory structure, and the corresponding damage identification strategies for pipe with different forms of features are proposed. The damage index of the echo signal difference and radial displacement signal is proposed to extract the signal from damage. Besides, to eliminate the noise effect caused by the actual detection situation, a novel guided wave denoising method based on the wavelet analysis is studied, and the analysis results indicate that the damage detection strategy based on the guided wave can accurately locate the damage region in both straight pipe and pipe with features and that the proposed denoising method can effectively eliminate the noise in the echo signal.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This study was financially supported by the National Program on Key Research and Development Project of China (2020YFB2103500-2), National Science Fund for Distinguished Young Scholars of China (51625803), Program of Chang Jiang Scholars of Ministry of Education, the support from the Tencent Foundation through the XPLORER, Ten Thousand Talent Program (Innovation Leading Talents), and Program for Jiangsu Province333 Talents. These supports are gratefully acknowledged.
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Received: Jul 9, 2020
Accepted: Jun 15, 2021
Published online: Aug 9, 2021
Published in print: Nov 1, 2021
Discussion open until: Jan 9, 2022
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