Automotive IVHM: Towards Intelligent Personalised Systems Healthcare
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Publication date
2019Author
Campean, FelicianNeagu, Daniel
Doikin, Aleksandr
Soleimani, Morteza
Byrne, Thomas J.
Sherratt, A.
Keyword
Large-scale engineering systemsDigital engineering value chains
Digitised engineering value chains
Product Lifecycle Management
PLM
Integrated Vehicle Health Management
IVHM
Digital twin
Rights
© 2019 The authors. This work is licensed under a Creative Commons Attribution 4.0 International License. http://creativecommons.org/licenses/by/4.0/Peer-Reviewed
Yes
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Show full item recordAbstract
Underpinned by a contemporary view of automotive systems as cyber-physical systems, characterised by progressively open architectures increasingly defined by their interaction with the users and the smart environment, this paper provides a critical and up-to-date review of automotive Integrated Vehicle Health Management (IVHM) systems. The paper discusses the challenges with prognostics and intelligent health management of automotive systems, and proposes a high-level framework, referred to as the Automotive Healthcare Analytic Factory, to systematically collect and process heterogeneous data from across the product lifecycle, towards actionable insight for personalised healthcare of systems.Version
Published versionCitation
Campean IF, Neagu D, Doikin A et al (2019) Automotive IVHM: Towards Intelligent Personalised Systems Healthcare. Proceedings of The 22nd International Conference on Engineering Design (ICED 19). 5-8 Aug, Delft, Netherlands. 1(1): 857-866.Link to Version of Record
https://doi.org/10.1017/dsi.2019.90Type
Conference paperae974a485f413a2113503eed53cd6c53
https://doi.org/10.1017/dsi.2019.90