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Self-organized Modeling for Vehicle Fleet Based Fault Detection
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).ORCID-id: 0000-0001-5163-2997
Volvo Technology, 405 08 Göteborg, Sweden.
2008 (Engelska)Ingår i: Proceedings of the SAE World Congress & Exhibition, Warrendale, PA: SAE Inc. , 2008Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Operators of fleets of vehicles desire the best possible availability and usage of their vehicles. This means the preference is that maintenance of a vehicle is scheduled with as long intervals as possible. However, it is then important to be able to detect if a component in a specific vehicle is not functioning properly earlier than expected (due to e.g. manufacturing variations). This paper proposes a telematic based fault detection scheme for enabling fault detection for diagnostics by using a population of vehicles. The basic idea is that it is possible to create low-dimensional representations of a sub-system or component in a vehicle, where the representation (or model parameters) of a vehicle can be monitored for changes compared to the model parameters observed in a fleet of vehicles. If a model in a vehicle is found to deviate compared to a group of models from a fleet of vehicles, then the vehicle is judged to need diagnostics for that component (assuming the deviation in the model cannot be attributed to e.g. a different driver behavior). The representation should be low-dimensional so it is possible to have it transferred over a limited wireless communication channel to a communications center where the comparison is made. The algorithm is shown to be able to detect leakage on simulated data from a cooling system, work is currently in progress for detecting other types of faults.

Ort, förlag, år, upplaga, sidor
Warrendale, PA: SAE Inc. , 2008.
Serie
SAE Technical Papers, ISSN 0148-7191 ; 2008-01-1297
Nyckelord [en]
Fleet operators, Vehicles
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:hh:diva-2057DOI: 10.4271/2008-01-1297Lokalt ID: 2082/2452OAI: oai:DiVA.org:hh-2057DiVA, id: diva2:239275
Konferens
SAE World Congress & Exhibition, April 2008, Detroit, Michigan, United States
Tillgänglig från: 2008-10-17 Skapad: 2008-10-17 Senast uppdaterad: 2018-03-23Bibliografiskt granskad

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Byttner, StefanRögnvaldsson, ThorsteinnSvensson, Magnus

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