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Modeling for Vehicle Fleet Remote Diagnostics
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).ORCID-id: 0000-0001-5163-2997
Volvo Technology, Göteborg, Sweden.
2007 (engelsk)Inngår i: Proceedings of SAE 2007 Commercial Vehicle Engineering Congress, Warrendale, PA: SAE Inc. , 2007Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Warrendale, PA: SAE Inc. , 2007.
Serie
SAE Technical Papers, ISSN 0148-7191 ; 2007-01-4154
Emneord [en]
Fleet operators, Vehicles
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-2124DOI: 10.4271/2007-01-4154Scopus ID: 2-s2.0-84877187284Lokal ID: 2082/2519OAI: oai:DiVA.org:hh-2124DiVA, id: diva2:239342
Konferanse
SAE 2007 Commercial Vehicle Engineering Congress & Exhibition, October 2007, Rosemont, IL, USA
Merknad

Article number 2007-01-4154

Tilgjengelig fra: 2008-11-12 Laget: 2008-11-12 Sist oppdatert: 2020-03-20bibliografisk kontrollert

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