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Consensus self-organized models for fault detection (COSMO)
Örebro University, School of Science and Technology.ORCID iD: 0000-0001-5163-2997
Volvo, Gothenburg, Sweden.
2011 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 24, no 5, p. 833-839Article in journal (Refereed) Published
Abstract [en]

Methods for equipment monitoring are traditionally constructed from specific sensors and/or knowledge collected prior to implementation on the equipment. A different approach is presented here that builds up knowledge over time by exploratory search among the signals available on the internal field bus system and comparing the observed signal relationships among a group of equipment that perform similar tasks. The approach is developed for the purpose of increasing vehicle uptime, and is therefore demonstrated in the case of a city bus and a heavy duty truck. However, it also works fine for smaller mechatronic systems like computer hard-drives. The approach builds on an onboard self-organized search for models that capture relations among signal values on the vehicles' data buses, combined with a limited bandwidth telematics gateway and an off-line server application where the parameters of the self-organized models are compared. The presented approach represents a new look at error detection in commercial mechatronic systems, where the normal behavior of a system is actually found under real operating conditions, rather than the behavior observed in a number of laboratory tests or test-drives prior to production of the system. The approach has potential to be the basis for a self-discovering system for general purpose fault detection and diagnostics. (c) 2011 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
2011. Vol. 24, no 5, p. 833-839
National Category
Engineering and Technology
Research subject
Computer Technology
Identifiers
URN: urn:nbn:se:oru:diva-18682DOI: 10.1016/j.engappai.2011.03.002ISI: 000291524200010OAI: oai:DiVA.org:oru-18682DiVA, id: diva2:444816
Available from: 2011-09-30 Created: 2011-09-29 Last updated: 2018-05-03Bibliographically approved

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Rögnvaldsson, Thorsteinn

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • en-US
  • fi-FI
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  • Other locale
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Output format
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