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dc.contributor.authorByrne, Thomas J.*
dc.contributor.authorDoikin, Aleksandr*
dc.contributor.authorCampean, Felician*
dc.contributor.authorNeagu, Daniel*
dc.date.accessioned2019-05-07T13:41:18Z
dc.date.available2019-05-07T13:41:18Z
dc.date.issued2019-07
dc.identifier.citationByrne TJ, Doikin A, Campean IF et al (2019) An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-Physical Systems. Proceedings of The 22nd International Conference on Engineering Design (ICED). 5-8 Aug, Delft, Netherlands. 1(1): 3581-3590.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17025
dc.descriptionYesen_US
dc.description.abstractAdvancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technologies developed around the communication core (IoT) enable novel interactions with data. Our framework employs previously untapped data from vehicles in the field for intelligent vehicle health management and knowledge integration into design. Firstly, the concept of an inter-disciplinary artefact is introduced to support the dynamic alignment of disparate functions, so that cyber variables change when physical variables change. Secondly, the axiomatic categorisation (AC) framework simulates functional transformations from artefact to artefact, to monitor and control automotive systems rather than components. Herein, an artefact is defined as a triad of the physical and engineered component, the information processing entity, and communication devices at their interface. Variable changes are modelled using AC, in conjunction with the artefacts, to aggregate functional transformations within the conceptual boundary of a physical system of systems.en_US
dc.description.sponsorshipJaguar Land Rover funded research “Intelligent Personalised Powertrain Healthcare” 2016-2019en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1017/dsi.2019.365en_US
dc.rights© 2019 The authors. This work is licensed under a Creative Commons Attribution 4.0 International License. http://creativecommons.org/licenses/by/4.0/en_US
dc.subjectCyber Physical Systemen_US
dc.subjectInternet of Thingsen_US
dc.subjectIndustry 4.0en_US
dc.subjectMultidisciplinary designen_US
dc.subjectIntelligent Vehicle Healthcare Managementen_US
dc.subjectIVHMen_US
dc.titleAn Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-Physical Systemsen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-04-04
dc.typeConference paperen_US
dc.type.versionAccepted manuscripten_US
refterms.dateFOA2019-05-07T13:41:18Z


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