Automotive IVHM: Towards intelligent personalised systems healthcare

14Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Campean, F., Neagu, D., Doikin, A., Soleimani, M., Byrne, T., & Sherratt, A. (2019). Automotive IVHM: Towards intelligent personalised systems healthcare. In Proceedings of the Design Society: International Conference on Engineering Design (Vol. 2019-August, pp. 857–866). Cambridge University Press. https://doi.org/10.1017/dsi.2019.90

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free