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Discerning the operational state of a vehicle’s distributed electronic systems from vehicle network traffic for use as a fault detection and diagnosis tool

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Taylor, J. E. (James E.), Amor-Segan, Mark, Dhadyalla, Gunwant and Jones, R. Peter (2014) Discerning the operational state of a vehicle’s distributed electronic systems from vehicle network traffic for use as a fault detection and diagnosis tool. International Journal of Automotive Technology and Management, Volume 15 (Number 3). pp. 441-449. doi:10.1007/s12239-014-0046-2 ISSN 1470-9511.

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Official URL: http://dx.doi.org/10.1007/s12239-014-0046-2

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Abstract

This paper suggests a novel approach to finding faults in a vehicle’s electronic systems by monitoring the network traffic directly and generating statistical traits. The nature of the data in a CAN network is considered, and a case for the use of statistical analysis presented. Statistical traits extracted from the temporal behavior of network messages are investigated as a metric for fault detection. It is shown how this trait information can be extracted from network data, and how this information could be used for fault detection of an unknown fault on a CAN network. It is then demonstrated that combining multiple types of trait data can be used to correctly identify a fault once detected.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: International Journal of Automotive Technology and Management
Publisher: Inderscience Publishers
ISSN: 1470-9511
Official Date: 1 April 2014
Dates:
DateEvent
1 April 2014Published
18 June 2013Accepted
7 January 2013Submitted
Volume: Volume 15
Number: Number 3
Page Range: pp. 441-449
DOI: 10.1007/s12239-014-0046-2
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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