Loading...
Automotive IVHM: Towards Intelligent Personalised Systems Healthcare
Neagu, Daniel Doikin, Aleksandr Soleimani, Morteza Byrne, Thomas J. Sherratt, A.
Neagu, Daniel
Doikin, Aleksandr
Soleimani, Morteza
Byrne, Thomas J.
Sherratt, A.
Publication Date
2019
End of Embargo
Supervisor
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
Open Access status
Accepted for publication
2019-02-22
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
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 version
Citation
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 publisher’s version
Link to published version
Link to Version of Record
Type
Conference paper