A design framework for adaptive digital twins

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dc.contributor.authorErkoyuncu, John Ahmet
dc.contributor.authorFernández del Amo, Iñigo
dc.contributor.authorAriansyah, Dedy
dc.contributor.authorBulka, Dominik
dc.contributor.authorVrabič, Rok
dc.contributor.authorRoy, Rajkumar
dc.date.accessioned2020-07-21T08:20:34Z
dc.date.available2020-07-21T08:20:34Z
dc.date.freetoread2020-07-21
dc.date.issued2020-05-20
dc.description.abstractDigital Twin (DT) is a ‘living’ entity that offers potential with monitoring and improving functionality of interconnected complex engineering systems (CESs). However, lack of approaches for adaptively connecting the existing brownfield systems and their data limits the use of DTs. This paper develops a new DT design framework that uses ontologies to enable co-evolution with the CES by capturing data in terms of variety, velocity, and volume across the asset life-cycle. The framework has been tested successfully on a helicopter gearbox demonstrator and a mobile robotic system across their life cycles, illustrating DT adaptiveness without the data architecture needing to be modified.en_UK
dc.identifier.citationErkoyuncu JA, Fernández del Amo I, Ariansyah D, et al., (2020) A design framework for adaptive digital twins. CIRP Annals - Manufacturing Technology, Volume 69, Issue 1, pp. 145-148en_UK
dc.identifier.cris26745014
dc.identifier.issn0007-8506
dc.identifier.urihttps://doi.org/10.1016/j.cirp.2020.04.086
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15573
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDigital twinsen_UK
dc.subjectDesign methoden_UK
dc.subjectOntologyen_UK
dc.titleA design framework for adaptive digital twinsen_UK
dc.typeArticleen_UK

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