Automotive IVHM: Towards Intelligent Personalised Systems Healthcare
Year: 2019
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Campean, Felician (1); Neagu, Daniel (1); Doikin, Aleksandr (1); Soleimani, Morteza (1); Byrne, Thomas (1); Sherratt, Andrew (2)
Series: ICED
Institution: University of Bradford
Section: Design for healthcare
DOI number: https://doi.org/10.1017/dsi.2019.90
ISSN: 2220-4342
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.
Keywords: Large-scale engineering systems, Digital / Digitised engineering value chains, Product Lifecycle Management (PLM), IVHM, Digital twin