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Contextualisation of information in digital twin processes

Matt Bonney Orcid Logo, Marco de Angelis, Mattia Dal Borgo, David J. Wagg

Mechanical Systems and Signal Processing, Volume: 184, Start page: 109657

Swansea University Author: Matt Bonney Orcid Logo

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DOI (Published version): 10.1016/j.ymssp.2022.109657

Abstract

Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information...

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Published in: Mechanical Systems and Signal Processing
ISSN: 0888-3270 1096-1216
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa65027
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spelling v2 65027 2023-11-21 Contextualisation of information in digital twin processes 323110cf11dcec3e8183228a4b33e06d 0000-0002-1499-0848 Matt Bonney Matt Bonney true false 2023-11-21 AERO Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information that arises from the data. Trust, as it is defined here, will typically be built from several contributory sources. While there are both quantitative and qualitative sources of trust, this paper focuses on the qualitative aspects of trust via the transparency of the algorithmic process that is available in the crystal-box modelling. The crystal-box idea is also extended to include the concept of a ‘crystal-box workflow’. The key idea is that in order to assist the user of the digital twin to interpret the results they are presented with, via the digital twin interface, the information needs to be contextualised. This work shows an example of how this can be done for a vibration testing (specifically modal testing) example on a scaled three-storey structure. The information is contextualised for the user via ‘profiles’, which collate and augment the processed information together. In particular, synthetic results are generated in order to augment a limited set of physically recorded data, and these synthetic results are then used to assist the user in contextualising the physically recorded data. Implementation results are shown using an open-source digital twin code called DTOP-Cristallo. Journal Article Mechanical Systems and Signal Processing 184 109657 Elsevier BV 0888-3270 1096-1216 Digital twin, Trust, Crystal-box, Information management, DTOP-Cristallo, Contextualisation 28 2 2023 2023-02-28 10.1016/j.ymssp.2022.109657 http://dx.doi.org/10.1016/j.ymssp.2022.109657 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University The authors would like to acknowledge the support of EPSRC, United Kingdom via the digital twins for improved dynamic design project (grant number EP/R006768/1). 2023-12-13T12:52:19.5333976 2023-11-21T09:28:53.7331566 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Matt Bonney 0000-0002-1499-0848 1 Marco de Angelis 2 Mattia Dal Borgo 3 David J. Wagg 4 65027__29258__cd371b3cb6f74d0b8721e92f33294cf4.pdf 65027.VOR.pdf 2023-12-13T12:34:52.4118056 Output 2725309 application/pdf Version of Record true © 2022 The Author(s). Published by Elsevier Ltd. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Contextualisation of information in digital twin processes
spellingShingle Contextualisation of information in digital twin processes
Matt Bonney
title_short Contextualisation of information in digital twin processes
title_full Contextualisation of information in digital twin processes
title_fullStr Contextualisation of information in digital twin processes
title_full_unstemmed Contextualisation of information in digital twin processes
title_sort Contextualisation of information in digital twin processes
author_id_str_mv 323110cf11dcec3e8183228a4b33e06d
author_id_fullname_str_mv 323110cf11dcec3e8183228a4b33e06d_***_Matt Bonney
author Matt Bonney
author2 Matt Bonney
Marco de Angelis
Mattia Dal Borgo
David J. Wagg
format Journal article
container_title Mechanical Systems and Signal Processing
container_volume 184
container_start_page 109657
publishDate 2023
institution Swansea University
issn 0888-3270
1096-1216
doi_str_mv 10.1016/j.ymssp.2022.109657
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
url http://dx.doi.org/10.1016/j.ymssp.2022.109657
document_store_str 1
active_str 0
description Digital twins are required to process a large amount of data during operation, in order to achieve specific tasks, over the lifetime of the physical twin that they relate to. One important feature of processing data is the identification of trust in both the underlying data and processed information that arises from the data. Trust, as it is defined here, will typically be built from several contributory sources. While there are both quantitative and qualitative sources of trust, this paper focuses on the qualitative aspects of trust via the transparency of the algorithmic process that is available in the crystal-box modelling. The crystal-box idea is also extended to include the concept of a ‘crystal-box workflow’. The key idea is that in order to assist the user of the digital twin to interpret the results they are presented with, via the digital twin interface, the information needs to be contextualised. This work shows an example of how this can be done for a vibration testing (specifically modal testing) example on a scaled three-storey structure. The information is contextualised for the user via ‘profiles’, which collate and augment the processed information together. In particular, synthetic results are generated in order to augment a limited set of physically recorded data, and these synthetic results are then used to assist the user in contextualising the physically recorded data. Implementation results are shown using an open-source digital twin code called DTOP-Cristallo.
published_date 2023-02-28T12:52:20Z
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