liu.seSearch for publications in DiVA
ReferencesLink to record
Permanent link

Direct link
Modeling and inference for troubleshooting with interventions applied to a heavy truck auxiliary braking system
2012 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, Vol. 25, no 4, 705-719Artikel i tidskrift (Refereed) Published
Abstract [en]

Computer assisted troubleshooting with external interventions is considered. The work is motivated by the task of repairing an automotive vehicle at lowest possible expected cost. The main contribution is a decision theoretic troubleshooting system that is developed to handle external interventions. In particular, practical issues in modeling for troubleshooting are discussed, the troubleshooting system is described, and a method for the efficient probability computations is developed. The troubleshooting systems consists of two parts; a planner that relies on AO* search and a diagnoser that utilizes Bayesian networks (BN). The work is based on a case study of an auxiliary braking system of a modern truck. Two main challenges in troubleshooting automotive vehicles are the need for disassembling the vehicle during troubleshooting to access parts to repair, and the difficulty to verify that the vehicle is fault free. These facts lead to that probabilities for faults and for future observations must be computed for a system that has been subject to external interventions that cause changes in the dependency structure. The probability computations are further complicated due to the mixture of instantaneous and non-instantaneous dependencies. To compute the probabilities, we develop a method based on an algorithm, updateBN, that updates a static BN to account for the external interventions.

Keyword [en]
Automobile industry, Decision support systems, Fault diagnosis, Probabilistic models, Bayesian network
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-77725 (URN)10.1016/j.engappai.2011.02.018 (DOI)000303552100005 (ISI)oai:DiVA.org:liu-77725 (OAI)
Available from2012-05-30 Created:2012-05-28 Last updated:2012-05-30

Open Access in DiVA

No fulltext

Other links

Publisher's fulltext

Search in DiVA

By author/editor
Pernestål, AnnaNyberg, MattiasWarnquist, Håkan
By organisation
Department of Electrical EngineeringThe Institute of TechnologyVehicular SystemsKPLAB - Knowledge Processing Lab
In the same journal
Engineering applications of artificial intelligence
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Citations

Web of Science®:

Altmetric score

Totalt: 68 hits
ReferencesLink to record
Permanent link

Direct link