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Machine Learning Techniques for the Analysis of Magnetic Flux Leakage Images in Pipeline Inspection

โœ Scribed by Khodayari-Rostamabad, A.; Reilly, J.P.; Nikolova, N.K.; Hare, J.R.; Pasha, S.


Book ID
114653108
Publisher
IEEE
Year
2009
Tongue
English
Weight
761 KB
Volume
45
Category
Article
ISSN
0018-9464

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Machine Learning Techniques for the Anal
โœ Khodayari-Rostamabad, A.; Reilly, J.P.; Nikolova, N.K.; Hare, J.R.; Pasha, S. ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› IEEE ๐ŸŒ English โš– 761 KB

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 a