Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions

Gas pipelines are prone to faults due to aging, corrosion, and external factors. Undetected faults can result in injuries, damage to properties, and environmental contamination. Several techniques have been developed to help detect faults, though each technique having pros and cons. This review is s...

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Main Authors: Syed, M.M., Lemma, T.A., Vandrangi, S.K., Ofei, T.N.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.29783 /
Published: Elsevier B.V. 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090558859&doi=10.1016%2fj.jngse.2020.103550&partnerID=40&md5=29f308a881848e13a3372f7b7b983638
http://eprints.utp.edu.my/29783/
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spelling utp-eprints.297832022-03-25T02:51:05Z Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions Syed, M.M. Lemma, T.A. Vandrangi, S.K. Ofei, T.N. Gas pipelines are prone to faults due to aging, corrosion, and external factors. Undetected faults can result in injuries, damage to properties, and environmental contamination. Several techniques have been developed to help detect faults, though each technique having pros and cons. This review is set out to identify research gaps related to fault detection and diagnostics under transient conditions and associated inputs for a robust design. A closer look at the available literature reveals that there is indeed more research required in terms of addressing pipeline-compressor-valve system, multiple fault scenario, uncertainty quantification, and multiphase condition. © 2020 Elsevier B.V. Elsevier B.V. 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090558859&doi=10.1016%2fj.jngse.2020.103550&partnerID=40&md5=29f308a881848e13a3372f7b7b983638 Syed, M.M. and Lemma, T.A. and Vandrangi, S.K. and Ofei, T.N. (2020) Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions. Journal of Natural Gas Science and Engineering, 83 . http://eprints.utp.edu.my/29783/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Gas pipelines are prone to faults due to aging, corrosion, and external factors. Undetected faults can result in injuries, damage to properties, and environmental contamination. Several techniques have been developed to help detect faults, though each technique having pros and cons. This review is set out to identify research gaps related to fault detection and diagnostics under transient conditions and associated inputs for a robust design. A closer look at the available literature reveals that there is indeed more research required in terms of addressing pipeline-compressor-valve system, multiple fault scenario, uncertainty quantification, and multiphase condition. © 2020 Elsevier B.V.
format Article
author Syed, M.M.
Lemma, T.A.
Vandrangi, S.K.
Ofei, T.N.
spellingShingle Syed, M.M.
Lemma, T.A.
Vandrangi, S.K.
Ofei, T.N.
Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
author_sort Syed, M.M.
title Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
title_short Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
title_full Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
title_fullStr Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
title_full_unstemmed Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
title_sort recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions
publisher Elsevier B.V.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090558859&doi=10.1016%2fj.jngse.2020.103550&partnerID=40&md5=29f308a881848e13a3372f7b7b983638
http://eprints.utp.edu.my/29783/
_version_ 1741197298955714560
score 11.62408

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