Enhancement of Defect Characterization With AC Magnetic Flux Leakage: Far-Side Defect Shape Estimation and Sensor Lift-Off Compensation
Author:
Affiliation:
1. Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC), Mathematics of Information Technology and Complex Systems (MITCAS) of Canada
Groupe Mequaltech of Montreal
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/20/9762634/09732454.pdf?arnumber=9732454
Reference41 articles.
1. Modelling and experimental investigation of magnetic flux leakage distribution for hairline crack detection and characterization;okolo,2018
2. Defect detection and width estimation in natural gas pipelines using MFL signals
3. Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm
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3. A fast finite element modeling and solving method for 2D defect magnetic leakage field;2023 IEEE Far East NDT New Technology & Application Forum (FENDT);2023-06-13
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