View source for Publications:Consensus self-organized models for fault detection (COSMO)

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{{PublicationSetupTemplate|Author=Stefan Byttner, Thorsteinn Rögnvaldsson, Magnus Svensson
|PID=416942
|Name=Byttner, Stefan (stefan) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941));Rögnvaldsson, Thorsteinn (denni) (0000-0001-5163-2997) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Intelligenta system (IS-lab) (3941));Svensson, Magnus (magsveARC13) (Volvo Technology, SE-405 08 Göteborg, Sweden)
|Title=Consensus self-organized models for fault detection (COSMO)
|PublicationType=Journal Paper
|ContentType=Refereegranskat
|Language=eng
|Journal=Engineering applications of artificial intelligence
|JournalISSN=0952-1976
|Status=published
|Volume=24
|Issue=5
|HostPublication=
|Conference=
|StartPage=833
|EndPage=839
|Year=2011
|Edition=
|Pages=
|City=Oxford
|Publisher=Pergamon Press
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|DOI=http://dx.doi.org/10.1016/j.engappai.2011.03.002
|ISI=000291524200010
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|ScopusId=2-s2.0-79956149234
|NBN=urn:nbn:se:hh:diva-15085
|LocalId=
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|Keywords=Fault detection;Fleet management;Remote maintenance;Self-organizing systems;Telematics
|Categories=Elektroteknik och elektronik (202)
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|Abstract=<p>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.</p>
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|CreatedDate=2011-05-13
|PublicationDate=2011-05-13
|LastUpdated=2013-10-15
|diva=http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:416942}}
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