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Modeling for Vehicle Fleet Remote Diagnostics
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0001-5163-2997
Volvo Technology, Göteborg, Sweden.
2007 (English)In: Proceedings of SAE 2007 Commercial Vehicle Engineering Congress, Warrendale, PA: SAE Inc. , 2007Conference paper, Published paper (Refereed)
Abstract [en]

Quality and up-time management of vehicles is today receiving much attention from vehicle manufacturers. One of the reasons is that there is a desire to avoiding on-road failures to addressing potential issues during routine maintenance intervals or at times more convenient to the operator. Forthcoming telematic platforms and advanced diagnostic algorithms can enable the possibility to proactively handle problems and minimize stops. The platforms bring the possibility of increasing knowledge of fault characteristics and making diagnostic decisions by using a population of vehicles. However, this requires real-time diagnostic algorithms that process data both onboard and offboard at a central server. The paper presents a self organizing approach for failure and deviation detection on a fleet of vehicles. The approach builds on using parametric models for encoding the characteristical relations between different sensor readings for a vehicle sub-system or component. The models are low-dimensional representations of the operating characteristics of a sub-system or component and are possible to transfer over a limited wireless communication channel. The approach is demonstrated on simulated data of an electronically controlled suspension system for detecting a slow valve and a leaking bellow.

Place, publisher, year, edition, pages
Warrendale, PA: SAE Inc. , 2007.
Series
SAE Technical Papers, ISSN 0148-7191 ; 2007-01-4154
Keywords [en]
Fleet operators, Vehicles
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2124DOI: 10.4271/2007-01-4154Scopus ID: 2-s2.0-84877187284Local ID: 2082/2519OAI: oai:DiVA.org:hh-2124DiVA, id: diva2:239342
Conference
SAE 2007 Commercial Vehicle Engineering Congress & Exhibition, October 2007, Rosemont, IL, USA
Note

Article number 2007-01-4154

Available from: 2008-11-12 Created: 2008-11-12 Last updated: 2018-03-23Bibliographically approved

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Byttner, StefanRögnvaldsson, ThorsteinnSvensson, Magnus

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf