Journal article 1277 views
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements
Robin H Priewald,
Christian Magele,
Paul Ledger,
Neil R Pearson,
John Mason
IEEE Transactions on Magnetics, Volume: 49, Issue: 1, Pages: 506 - 516
Swansea University Authors: Paul Ledger, John Mason
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DOI (Published version): 10.1109/tmag.2012.2208119
Abstract
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements
Published in: | IEEE Transactions on Magnetics |
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ISSN: | 0018-9464 1941-0069 |
Published: |
2013
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa12684 |
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2018-02-09T04:43:06Z |
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2016-08-17T13:52:15.5331520 v2 12684 2013-09-03 Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements 068dd31af167bcda33878951b2a01e97 Paul Ledger Paul Ledger true false 284b34c63a5cbc71055047daf2ee1392 John Mason John Mason true false 2013-09-03 Journal Article IEEE Transactions on Magnetics 49 1 506 516 0018-9464 1941-0069 31 12 2013 2013-12-31 10.1109/tmag.2012.2208119 Magnetic flux leakage (MFL) dominates the field of non-destructive testing in the well-defined contexts involving carbon steel especially where speed of testing is critical, for example in the petrochemical industry where plant decommissioning and out-of-service costs are high. A well-known limitation of MFL is the ambiguity when mapping the captured signals back to the defect shapes, harnessing for example non-linear finite element approaches. These approaches tend to be computationally intense and unsuitable for certain in situ applications, for example in side above –ground storage tanks. The two major contributions of this paper are first the efficient processing of the multi-valued solutions to give the most likely candidate from a given ambiguous set; second, when compared with equivalent published works there is an order of magnitude reduction in computational requirements, making in-situ solution more viable. COLLEGE NANME COLLEGE CODE Swansea University 2016-08-17T13:52:15.5331520 2013-09-03T06:00:31.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Robin H Priewald 1 Christian Magele 2 Paul Ledger 3 Neil R Pearson 4 John Mason 5 |
title |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
spellingShingle |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements Paul Ledger John Mason |
title_short |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
title_full |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
title_fullStr |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
title_full_unstemmed |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
title_sort |
Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements |
author_id_str_mv |
068dd31af167bcda33878951b2a01e97 284b34c63a5cbc71055047daf2ee1392 |
author_id_fullname_str_mv |
068dd31af167bcda33878951b2a01e97_***_Paul Ledger 284b34c63a5cbc71055047daf2ee1392_***_John Mason |
author |
Paul Ledger John Mason |
author2 |
Robin H Priewald Christian Magele Paul Ledger Neil R Pearson John Mason |
format |
Journal article |
container_title |
IEEE Transactions on Magnetics |
container_volume |
49 |
container_issue |
1 |
container_start_page |
506 |
publishDate |
2013 |
institution |
Swansea University |
issn |
0018-9464 1941-0069 |
doi_str_mv |
10.1109/tmag.2012.2208119 |
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Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
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School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised |
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published_date |
2013-12-31T06:19:33Z |
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1827364691846889472 |
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11.05492 |