Reconstruction of arbitrary defect profiles from three-axial MFL signals based on metaheuristic optimization method

Article type: Research Article

Authors: Chen, Junjie^* | Huang, Songling | Zhao, Wei

Affiliations: State Key Laboratory of Power System and Department of Electrical Engineering, Tsinghua University, Beijing, China

Correspondence: [*] Corresponding author: Songling Huang, State Key Laboratory of Power System and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China. Tel.: +86 010 6277 2131; Fax: +86 010 6277 2131; E-mail:huangsling@tsinghua.edu.cn

Abstract: This paper explores the property of three-axial magnetic flux leakage (MFL) signals in pipeline inspection. Then, metaheuristic optimization methods, including genetic algorithm (GA) and tabu search (TS) algorithm, are utilized to reconstruct defect profiles from three-axial MFL signals. Performances of the two methods are testified and compared, and a series of improving methods are proposed to minimize the time consumption while maintaining the accuracy of defect reconstruction. Experiments of defect reconstruction demonstrate that the proposed inversion methods have high performance in terms of both accuracy and robustness.

Keywords: Magnetic flux leakage, defect reconstruction, genetic algorithm, tabu search

DOI: 10.3233/JAE-140195

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 49, no. 2, pp. 223-237, 2015