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Defect Signal Enhancement in Inspection Lines by Magnetic Flux Leakage

AIP Conference Proceedings, 2003
The detection of flaws that involve 5% or more of the pipe wall thickness is not easy to achieve for internal defects inspected from the outside. In this work we focus on a relatively straightforward technique, based on obtaining the characteristic signature of relevant defects, and projecting the actual signals on these “standard” defect ...
openaire   +1 more source

Investigations of magnetic flux leakage and magnetic Barkhausen noise signals from pipeline steel

Journal of Physics D: Applied Physics, 1997
Magnetic flux leakage (MFL) is used for in-line inspection of underground oil and gas pipelines. MFL signals are sensitive to the line pressure which should be taken into account when estimating the sizes of defects. MFL signals have been studied from electrochemically milled pits with 50% penetration in pipeline steel under the influence of different ...
K Mandal   +3 more
openaire   +1 more source

Signal processing and defect analysis of pipeline inspection applying magnetic flux leakage methods

Intelligent Service Robotics, 2014
Corrosion, stresses and mechanical damage of oil and gas pipelines can result in catastrophic failures, so pipeline safety evaluation is an important problem of oil and gas transmission. To evaluate the pipeline safety, this paper described a novel magnetic flux leakage (MFL) inspection device, and the designing MFL intelligent inspection pig was used ...
Bingyi Mao   +4 more
openaire   +1 more source

The Effects of Angular Displacement on Magnetic Flux Leakage Metal Loss Signals

CORROSION 2009, 2009
Abstract Magnetic flux leakage is one of the most common and robust methods of ILI (In Line Inspection) used by pipeline operators worldwide to detect and characterize a broad range of pipeline features and anomalies. Magnetic flux leakage data signals are influenced by the shape and configuration of metal loss zones; with the feature ...
openaire   +1 more source

A Simplified Lift-Off Correction for Three Components of the Magnetic Flux Leakage Signal for Defect Detection

IEEE Transactions on Instrumentation and Measurement, 2021
Lisha Peng, Songling Huang, Shen Wang
exaly  

A magnetic shielding strategy for magnetic sensor in magnetic flux leakage testing

Journal of Magnetism and Magnetic Materials, 2022
Pengpeng Shi, Sanqing Su
exaly  

Semi-supervised learning for steel surface inspection using magnetic flux leakage signal

Journal of Intelligent Manufacturing, 2023
Jae-Eun Park, Young-Keun Kim
openaire   +1 more source

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