A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions
The use of autonomous underwater vehicles (AUVs) for various scientific, commercial, and military applications has become more common with maturing technology and improved accessibility. One relatively new development lies in the use of AUVs for under‐ice marine science research in the Antarctic. Th...
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ftsouthampton:oai:eprints.soton.ac.uk:432329 2023-07-30T03:58:33+02:00 A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions Loh, Tzu Yang Brito, Mario Bose, Neil Xu, Jingjing Tenekedjiev, Kiril 2019-12 text https://eprints.soton.ac.uk/432329/ https://eprints.soton.ac.uk/432329/1/JRA_Template_16Jun.docx en English eng https://eprints.soton.ac.uk/432329/1/JRA_Template_16Jun.docx Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing and Tenekedjiev, Kiril (2019) A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions. Risk Analysis, 39 (12), 2744-2765. (doi:10.1111/risa.13376 <http://dx.doi.org/10.1111/risa.13376>). accepted_manuscript Article PeerReviewed 2019 ftsouthampton https://doi.org/10.1111/risa.13376 2023-07-09T22:30:37Z The use of autonomous underwater vehicles (AUVs) for various scientific, commercial, and military applications has become more common with maturing technology and improved accessibility. One relatively new development lies in the use of AUVs for under‐ice marine science research in the Antarctic. The extreme environment, ice cover, and inaccessibility as compared to open‐water missions can result in a higher risk of loss. Therefore, having an effective assessment of risks before undertaking any Antarctic under‐ice missions is crucial to ensure an AUV's survival. Existing risk assessment approaches predominantly focused on the use of historical fault log data of an AUV and elicitation of experts’ opinions for probabilistic quantification. However, an AUV program in its early phases lacks historical data and any assessment of risk may be vague and ambiguous. In this article, a fuzzy‐based risk assessment framework is proposed for quantifying the risk of AUV loss under ice. The framework uses the knowledge, prior experience of available subject matter experts, and the widely used semiquantitative risk assessment matrix, albeit in a new form. A well‐developed example based on an upcoming mission by an ISE‐explorer class AUV is presented to demonstrate the application and effectiveness of the proposed framework. The example demonstrates that the proposed fuzzy‐based risk assessment framework is pragmatically useful for future under‐ice AUV deployments. Sensitivity analysis demonstrates the validity of the proposed method. Article in Journal/Newspaper Antarc* Antarctic University of Southampton: e-Prints Soton Antarctic The Antarctic Risk Analysis 39 12 2744 2765 |
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University of Southampton: e-Prints Soton |
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ftsouthampton |
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English |
description |
The use of autonomous underwater vehicles (AUVs) for various scientific, commercial, and military applications has become more common with maturing technology and improved accessibility. One relatively new development lies in the use of AUVs for under‐ice marine science research in the Antarctic. The extreme environment, ice cover, and inaccessibility as compared to open‐water missions can result in a higher risk of loss. Therefore, having an effective assessment of risks before undertaking any Antarctic under‐ice missions is crucial to ensure an AUV's survival. Existing risk assessment approaches predominantly focused on the use of historical fault log data of an AUV and elicitation of experts’ opinions for probabilistic quantification. However, an AUV program in its early phases lacks historical data and any assessment of risk may be vague and ambiguous. In this article, a fuzzy‐based risk assessment framework is proposed for quantifying the risk of AUV loss under ice. The framework uses the knowledge, prior experience of available subject matter experts, and the widely used semiquantitative risk assessment matrix, albeit in a new form. A well‐developed example based on an upcoming mission by an ISE‐explorer class AUV is presented to demonstrate the application and effectiveness of the proposed framework. The example demonstrates that the proposed fuzzy‐based risk assessment framework is pragmatically useful for future under‐ice AUV deployments. Sensitivity analysis demonstrates the validity of the proposed method. |
format |
Article in Journal/Newspaper |
author |
Loh, Tzu Yang Brito, Mario Bose, Neil Xu, Jingjing Tenekedjiev, Kiril |
spellingShingle |
Loh, Tzu Yang Brito, Mario Bose, Neil Xu, Jingjing Tenekedjiev, Kiril A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
author_facet |
Loh, Tzu Yang Brito, Mario Bose, Neil Xu, Jingjing Tenekedjiev, Kiril |
author_sort |
Loh, Tzu Yang |
title |
A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
title_short |
A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
title_full |
A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
title_fullStr |
A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
title_full_unstemmed |
A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
title_sort |
fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions |
publishDate |
2019 |
url |
https://eprints.soton.ac.uk/432329/ https://eprints.soton.ac.uk/432329/1/JRA_Template_16Jun.docx |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://eprints.soton.ac.uk/432329/1/JRA_Template_16Jun.docx Loh, Tzu Yang, Brito, Mario, Bose, Neil, Xu, Jingjing and Tenekedjiev, Kiril (2019) A fuzzy-based risk assessment framework for autonomous underwater vehicle under-ice missions. Risk Analysis, 39 (12), 2744-2765. (doi:10.1111/risa.13376 <http://dx.doi.org/10.1111/risa.13376>). |
op_rights |
accepted_manuscript |
op_doi |
https://doi.org/10.1111/risa.13376 |
container_title |
Risk Analysis |
container_volume |
39 |
container_issue |
12 |
container_start_page |
2744 |
op_container_end_page |
2765 |
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1772821330509430784 |