Overview of telematics-based prognostics and health management systems for commercial vehicles

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Mesgarpour, Mohammad, Landa-Silva, Dario and Dickinson, Ian (2013) Overview of telematics-based prognostics and health management systems for commercial vehicles. Communications in Computer and Information Science, 395 . pp. 123-130. ISSN 1865-0929

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Abstract

Prognostics and Health Management/Monitoring (PHM) are methods to assess the health condition and reliability of systems for the purpose of maximising operational reliability and safety. Recently, PHM systems are emerging in the automotive industry. In the commercial vehicle sector, reducing the maintenance cost and downtime while also improving the reliability of vehicle components can have a major impact on fleet performance and hence business competitiveness. Nowadays, telematics and GPS are used mainly for fleet tracking and diagnostics purposes. Increased numbers of sensors installed on commercial vehicles, advancement of data analytics and computational intelligence methods, increased capabilities for on-board data processing as well as in the cloud, are creating an opportunity for PHM systems to be deployed on commercial vehicles and hence improve the overall operational efficiency.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/1005030
Additional Information: The final publication is available at Springer via http://dx.doi.org/ 10.1007/978-3-642-41647-7_16 Chapter in: Activities of transport telematics : interaction technologies: 13th International Conference on Transport Systems Telematics, TST 2013, Katowice-Ustroń, Poland, October 23–26, 2013, selected papers ISBN 978-3-642-41646-0
Keywords: Survey tutorial, Maintenance scheduling, Transport planning
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: 10.1007/978-3-642-41647-7_16
Depositing User: Landa-Silva, Dario
Date Deposited: 07 Mar 2016 08:59
Last Modified: 04 May 2020 20:20
URI: https://eprints.nottingham.ac.uk/id/eprint/32124

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