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Automotive IVHM: Towards Intelligent Personalised Systems Healthcare

Published online by Cambridge University Press:  26 July 2019

Felician Campean
Affiliation:
University of Bradford, Automotive Research Centre;
Daniel Neagu
Affiliation:
University of Bradford, Automotive Research Centre;
Aleksandr Doikin
Affiliation:
University of Bradford, Automotive Research Centre;
Morteza Soleimani
Affiliation:
University of Bradford, Automotive Research Centre;
Thomas Byrne
Affiliation:
University of Bradford, Automotive Research Centre;
Andrew Sherratt
Affiliation:
Jaguar Land Rover
Corresponding
E-mail address:

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.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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