Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)

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dc.contributor.authorEzhilarasu, Cordelia Mattuvarkuzhali
dc.contributor.authorSkaf, Zakwan
dc.contributor.authorJennions, Ian
dc.date.accessioned2020-02-19T15:52:31Z
dc.date.available2020-02-19T15:52:31Z
dc.date.issued2019-11-28
dc.description.abstractIntegrated Vehicle Health Management (IVHM) aims to support Condition-Based Maintenance (CBM) by monitoring, diagnosing, and prognosing the health of the host system. One of the technologies required by IVHM to carry out its objectives is the means to emulate the functioning of the host system, and the concept of a Digital Twin (DT) was introduced in aerospace IVHM to represent the functioning of such a complex system. This paper aims to discuss the role played by DT in the field of IVHM. A DT is the virtual representation of any physical product, that is used to project the functioning of the product at a given instance. The DT is used across the lifecycle of any product, and its output can be customized depending upon the area of application. The DT is currently popular in industry because of the technologies like sensors, cloud computing, Internet of Things, machine learning, and advanced software, which enabled its development. This paper discusses what encompasses a DT, the technologies that support the DT, its applications across industries, and its development in academia. This paper also talks about how a DT can combine with IVHM technology to assess the health of complex systems like an aircraft. Lastly, this paper presents various challenges faced by industry during the implementation of a DT and some of the possible opportunities for future growth.en_UK
dc.identifier.citationEzhilarasu CM, Skaf Z, Jennions IK. (2019) Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM). In: 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, 6-9 October 2019en_UK
dc.identifier.issn2577-1655
dc.identifier.urihttps://doi.org/10.1109/SMC.2019.8914244
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15152
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectData modelsen_UK
dc.subjectMaintenance engineeringen_UK
dc.subjectSensorsen_UK
dc.subjectAdaptation modelsen_UK
dc.subjectMonitoringen_UK
dc.subjectIndustriesen_UK
dc.titleUnderstanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)en_UK
dc.typeConference paperen_UK

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