Journal article
Machine Learning Techniques for the Analysis of Magnetic FluxLeakage Images in Pipeline Inspection
Abstract
The magnetic flux leakage (MFL) technique, commonly used for nondestructive testing of oil and gas pipelines, involves the detection of defects and anomalies in the pipe wall and the evaluation of the severity of these defects. The difficulty with the MFL method is the extent and complexity of the analysis of the MFL images. In this paper, we show how modern machine learning techniques can be used to considerable advantage in this respect. We …
Authors
Khodayari-Rostamabad A; Reilly JP; Nikolova NK; Hare JR; Pasha S
Journal
IEEE Transactions on Magnetics, Vol. 45, No. 8, pp. 3073–3084
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
August 1, 2009
DOI
10.1109/tmag.2009.2020160
ISSN
0018-9464