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Overview of Telematics-Based Prognostics and Health Management Systems for Commercial Vehicles

  • Conference paper
Activities of Transport Telematics (TST 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 395))

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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.

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Author information

Authors and Affiliations

  1. ASAP Research Group, School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, UK

    Mohammad Mesgarpour & Dario Landa-Silva

  2. Microlise Ltd, Eastwood, Nottingham, NG16 3AG, UK

    Ian Dickinson

Authors
  1. Mohammad Mesgarpour
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  2. Dario Landa-Silva
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  3. Ian Dickinson
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Editor information

Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Krasińskiego 8, 40-019, Katowice, Poland

    Jerzy Mikulski

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Mesgarpour, M., Landa-Silva, D., Dickinson, I. (2013). Overview of Telematics-Based Prognostics and Health Management Systems for Commercial Vehicles. In: Mikulski, J. (eds) Activities of Transport Telematics. TST 2013. Communications in Computer and Information Science, vol 395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41647-7_16

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  • DOI: https://doi.org/10.1007/978-3-642-41647-7_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41646-0

  • Online ISBN: 978-3-642-41647-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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