Staff View: Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review

Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review

Corrosion under insulations is described as localized corrosion that forms because of moisture penetration through the insulation materials or due to contaminants’ presence within the insulation material. The traditional non-destructive inspection techniques operating at a low frequency require remo...

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Main Authors:	Akbar, Muhammad Firdaus, Mohammed Mohsen Shrifan, Nawaf Hassan, Al Gburi, Ahmed Jamal Abdullah, Tan, Shin Yee, Mat Isa, Nor Ashidi
Format:	Article
Language:	English
Published:	Institute Of Electrical And Electronics Engineers Inc. 2022
Online Access:	http://eprints.utem.edu.my/id/eprint/27034/2/0270223052023133.PDF http://eprints.utem.edu.my/id/eprint/27034/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9852233
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id	my.utem.eprints.27034
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spelling	my.utem.eprints.270342024-01-16T10:39:59Z http://eprints.utem.edu.my/id/eprint/27034/ Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review Akbar, Muhammad Firdaus Mohammed Mohsen Shrifan, Nawaf Hassan Al Gburi, Ahmed Jamal Abdullah Tan, Shin Yee Mat Isa, Nor Ashidi Akbar, Muhammad Firdaus Corrosion under insulations is described as localized corrosion that forms because of moisture penetration through the insulation materials or due to contaminants’ presence within the insulation material. The traditional non-destructive inspection techniques operating at a low frequency require removing insulation material to enable inspection, due to poor signal penetration. Several high-frequency inspection techniques such as the microwave technique have shown successful inspection in detecting the defect under insulations, without removing the insulations. However, the microwave technique faces several challenges such as poor spatial imaging, large errors in terms of defect size and depth owing to stand-off distance variations, optimal frequency point selection, and the presence of the outlier in microwave measurement data. The microwave technique in conjunction with machine learning approaches has tremendous potential and viability for assessing corrosion under insulation. This paper provides an in-depth review of non-destructive techniques for assessing corrosion under insulation, as well as the possibility of using machine learning approaches in microwave techniques in comparison to other conventional techniques. Institute Of Electrical And Electronics Engineers Inc. 2022 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27034/2/0270223052023133.PDF Akbar, Muhammad Firdaus and Mohammed Mohsen Shrifan, Nawaf Hassan and Al Gburi, Ahmed Jamal Abdullah and Tan, Shin Yee and Mat Isa, Nor Ashidi and Akbar, Muhammad Firdaus (2022) Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review. IEEE Access, 10. pp. 88191-88210. ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9852233 10.1109/ACCESS.2022.3197291
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
description	Corrosion under insulations is described as localized corrosion that forms because of moisture penetration through the insulation materials or due to contaminants’ presence within the insulation material. The traditional non-destructive inspection techniques operating at a low frequency require removing insulation material to enable inspection, due to poor signal penetration. Several high-frequency inspection techniques such as the microwave technique have shown successful inspection in detecting the defect under insulations, without removing the insulations. However, the microwave technique faces several challenges such as poor spatial imaging, large errors in terms of defect size and depth owing to stand-off distance variations, optimal frequency point selection, and the presence of the outlier in microwave measurement data. The microwave technique in conjunction with machine learning approaches has tremendous potential and viability for assessing corrosion under insulation. This paper provides an in-depth review of non-destructive techniques for assessing corrosion under insulation, as well as the possibility of using machine learning approaches in microwave techniques in comparison to other conventional techniques.
format	Article
author	Akbar, Muhammad Firdaus Mohammed Mohsen Shrifan, Nawaf Hassan Al Gburi, Ahmed Jamal Abdullah Tan, Shin Yee Mat Isa, Nor Ashidi Akbar, Muhammad Firdaus
spellingShingle	Akbar, Muhammad Firdaus Mohammed Mohsen Shrifan, Nawaf Hassan Al Gburi, Ahmed Jamal Abdullah Tan, Shin Yee Mat Isa, Nor Ashidi Akbar, Muhammad Firdaus Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
author_facet	Akbar, Muhammad Firdaus Mohammed Mohsen Shrifan, Nawaf Hassan Al Gburi, Ahmed Jamal Abdullah Tan, Shin Yee Mat Isa, Nor Ashidi Akbar, Muhammad Firdaus
author_sort	Akbar, Muhammad Firdaus
title	Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
title_short	Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
title_full	Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
title_fullStr	Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
title_full_unstemmed	Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review
title_sort	prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: a review
publisher	Institute Of Electrical And Electronics Engineers Inc.
publishDate	2022
url	http://eprints.utem.edu.my/id/eprint/27034/2/0270223052023133.PDF http://eprints.utem.edu.my/id/eprint/27034/ https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9852233
_version_	1789429988639899648
score	13.211869

Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review

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