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Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review

This paper aims to provide an overview of the experimental and simulation works focused on the detection, localisation and assessment of various defects in pipes by applying fast-screening guided ultrasonic wave techniques that have been used in the oil and gas industries over the past 20 years. Maj...

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Autores principales: Ghavamian, Aidin, Mustapha, Faizal, Baharudin, B.T Hang Tuah, Yidris, Noorfaizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308566/
https://www.ncbi.nlm.nih.gov/pubmed/30563013
http://dx.doi.org/10.3390/s18124470
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author Ghavamian, Aidin
Mustapha, Faizal
Baharudin, B.T Hang Tuah
Yidris, Noorfaizal
author_facet Ghavamian, Aidin
Mustapha, Faizal
Baharudin, B.T Hang Tuah
Yidris, Noorfaizal
author_sort Ghavamian, Aidin
collection PubMed
description This paper aims to provide an overview of the experimental and simulation works focused on the detection, localisation and assessment of various defects in pipes by applying fast-screening guided ultrasonic wave techniques that have been used in the oil and gas industries over the past 20 years. Major emphasis is placed on limitations, capabilities, defect detection in coated buried pipes under pressure and corrosion monitoring using different commercial guided wave (GW) systems, approaches to simulation techniques such as the finite element method (FEM), wave mode selection, excitation and collection, GW attenuation, signal processing and different types of GW transducers. The effects of defect parameters on reflection coefficients are also discussed in terms of different simulation studies and experimental verifications.
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spelling pubmed-63085662019-01-04 Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review Ghavamian, Aidin Mustapha, Faizal Baharudin, B.T Hang Tuah Yidris, Noorfaizal Sensors (Basel) Review This paper aims to provide an overview of the experimental and simulation works focused on the detection, localisation and assessment of various defects in pipes by applying fast-screening guided ultrasonic wave techniques that have been used in the oil and gas industries over the past 20 years. Major emphasis is placed on limitations, capabilities, defect detection in coated buried pipes under pressure and corrosion monitoring using different commercial guided wave (GW) systems, approaches to simulation techniques such as the finite element method (FEM), wave mode selection, excitation and collection, GW attenuation, signal processing and different types of GW transducers. The effects of defect parameters on reflection coefficients are also discussed in terms of different simulation studies and experimental verifications. MDPI 2018-12-17 /pmc/articles/PMC6308566/ /pubmed/30563013 http://dx.doi.org/10.3390/s18124470 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ghavamian, Aidin
Mustapha, Faizal
Baharudin, B.T Hang Tuah
Yidris, Noorfaizal
Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title_full Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title_fullStr Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title_full_unstemmed Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title_short Detection, Localisation and Assessment of Defects in Pipes Using Guided Wave Techniques: A Review
title_sort detection, localisation and assessment of defects in pipes using guided wave techniques: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308566/
https://www.ncbi.nlm.nih.gov/pubmed/30563013
http://dx.doi.org/10.3390/s18124470
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