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http://dx.doi.org/10.5369/JSST.2006.15.5.328

Defect depth estimation using magnetic flux leakage measurement for in-line inspection of pipelines  

Moon, Jae-Kyoung (Kyungpook National University)
Lee, Seung-Hyun (NEX1 FUTURE Co., Ltd.)
Lee, In-Won (Kyungpook National University)
Park, Gwan-Soo (Pusan National University)
Lee, Min-Ho (Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.15, no.5, 2006 , pp. 328-333 More about this Journal
Abstract
Magnetic Flux Leakage (MFL) methods are widely employed for the nondestructive evaluation (NDE) of gas pipelines. In the application of MFL pipeline inspection technology, corrosion anomalies are detected and identified via their leakage filed due to changes in wall thickness. The gas industry is keenly interested in automating the interpretation process, because a large amount of data to be analyzed is generated for in-line inspection. This paper presents a novel approach to the tasks of data segmentation, feature extraction and depth estimation from gas pipelines. Also, we will show that the proposed method successfully identifying artificial defects.
Keywords
MFL; characterization; gas pipeline; depth estimation; defect; linear regression;
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