Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems

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dc.contributor.authorD’Amico, Davide
dc.contributor.authorEkoyuncu, John
dc.contributor.authorAddepalli, Sri
dc.contributor.authorSmith, Christopher
dc.contributor.authorKeedwell, Ed
dc.contributor.authorSibson, Jim
dc.contributor.authorPenver, Steven
dc.date.accessioned2020-11-30T09:52:11Z
dc.date.available2020-11-30T09:52:11Z
dc.date.issued2019-02-18
dc.description.abstractDegradation of engineering structures and systems often comes in the form of wear, corrosion, and fracture. These factors progressively bring about performance decay, until the system fails to function satisfactorily. Complex engineering systems (CES) need regular maintenance throughout their operation, along with continuous checks on the health status of components and equipment, within regulatory frameworks. A digital twin paradigm is able to continuously monitor CES, to use this data to update a virtual model of the CES and thus make real-time predictions about future functionality. The purpose of this paper is to introduce a conceptual framework of a digital twin to be applied within the degradation assessment process of a CES. The digital twin framework will aim to gather digital data through a network to plan through-life requirements of the system. Data-driven approaches can be used to predict how degradation evolves over time. The proposed framework will help the decision-making process to better handle maintenance operations and achieve targets such as asset availability and minimised cost.en_UK
dc.identifier.citationD’Amico D, Ekoyuncu J, Addepalli S, Smith C, Keedwell E, Sibson J & Penver S (2020) Conceptual framework of a digital twin to evaluate the degradation status of complex engineering systems, Procedia CIRP, Volume 86, 2019 pp. 61-67en_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2020.01.043
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16047
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProduct digital twinen_UK
dc.subjectmaterials degradationen_UK
dc.subjectconceptual frameworken_UK
dc.subjectmodels integrationen_UK
dc.subjectdistributed systemsen_UK
dc.titleConceptual framework of a digital twin to evaluate the degradation status of complex engineering systemsen_UK
dc.typeConference paperen_UK

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