Structural Coupled Electromagnetic Sensing of Defects Diagnostic System

Ru, Gaige, Gao, Bin, Liu, Dong, Ma, Qiuping, Li, Haoran and Woo, Wai Lok (2022) Structural Coupled Electromagnetic Sensing of Defects Diagnostic System. IEEE Transactions on Industrial Electronics. pp. 1-12. ISSN 0278-0046 (In Press)

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Official URL: https://doi.org/10.1109/TIE.2022.3148755

Abstract

Magnetic flux leakage (MFL) detection methods are widely used to detect pipeline defects. However, it is limited by the detection orientation and magnetization. Besides, bulky excitation systems are incapable of adapting to the complex detection environments. This paper proposes a new Electromagnetic Structured Coupling sensing of merging Alternating Current Field Measurement (ACFM) and MFL within a multi-parameter system for different types of pipeline defects detection. In particular, a novel electromagnetic coupling sensor structure is proposed which enables simultaneous interaction between the excitation modes of Yoke and coil. Magnetic Yoke is integrated to magnetizing the axial pipeline to detect the circumferential surface and subsurface defects while the coil excites the circumferential uniform alternating current field and recognizes the axial defect. The novel structured sensing is highly sensitivity to the detection of both surface and subsurface defects. Simulation and experiments on defects in several samples have been conducted to validate the reliability and efficiency of the proposed system.

Item Type: Article
Additional Information: Funding information: The work was supported by Deyuan and UESTC Joint Research Center, supported by the National Natural Science Foundation of China (No. 61971093, No. 61960206010 and No. 61527803). The work was supported by Science and Technology Department of Sichuan, China (Grant No.2019YJ0208, Grant No.2018JY0655, Grant No. 2018GZ0047) and Fundamental Research Funds for the Central Universities (Grant No. ZYGX2019J067).
Uncontrolled Keywords: Pipeline defects, Magnetic Flux Leakage (MFL), Alternating Current Field Measurement (ACFM), multiphysics sensing.
Subjects: G400 Computer Science
G500 Information Systems
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 14 Mar 2022 09:03
Last Modified: 14 Mar 2022 09:15
URI: http://nrl.northumbria.ac.uk/id/eprint/48664

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