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

Direct link
Planning as Heuristic Search for Incremental Fault Diagnosis and Repair
2009 (English)In: Proceedings of the Scheduling and Planning Applications Workshop (SPARK) at the 19th International Conference on Automated Planning and Scheduling (ICAPS), 2009Konferensbidrag (Refereed)
Abstract [en]

In this paper we study the problem of incremental fault diagnosis and repair of mechatronic systems where the task is to choose actions such that the expected cost of repair is minimal. This is done by interleaving acting with the generation of partial conditional plans used to decide the next action. A diagnostic model based on Bayesian Networks is used to update the current belief state after each action. The planner uses a simplified version of this model to update predicted belief states. We have tested the approach in the domain of troubleshooting heavy vehicles. Experiments show that a simplified model for planning improves performance when troubleshooting with limited time.

National Category
Engineering and Technology Computer Science
Identifiers
urn:nbn:se:liu:diva-51210 (URN)oai:DiVA.org:liu-51210 (OAI)
Available from2009-10-21 Created:2009-10-21 Last updated:2013-08-29

Open Access in DiVA

No fulltext

Search in DiVA

By author/editor
Warnquist, HåkanKvarnström, JonasDoherty, Patrick
By organisation
KPLAB - Knowledge Processing LabThe Institute of Technology
Engineering and TechnologyComputer Science

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®:
Totalt: 33 hits
ReferencesLink to record
Permanent link

Direct link