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A Heuristic for Near-Optimal Troubleshooting Using AO*
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
2008 (English)In: Proceedings of the International Workshop on the Principles of Diagnosis, 2008Conference paper (Refereed)
Abstract [en]

When troubleshooting malfunctioning technical equipment, the task is to locate faults and make repairsuntil the equipment functions properly again. The AO* algorithm can be used to find troubleshootingstrategies that are optimal in the sense that the expected cost of repair is minimal. We have adaptedthe AO* algorithm for troubleshooting in the automotive domain with limited time. We propose a newheuristic based on entropy. By using this heuristic, near-optimal strategies can be found within a fixedtime limit. This is shown in empirical studies on a fuel injection system of a truck. In these results, theAO* algorithm using the new heuristic, performs better than other troubleshooting algorithms.

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Engineering and Technology
URN: urn:nbn:se:liu:diva-51208OAI: diva2:273340
Available from: 2009-10-21 Created: 2009-10-21 Last updated: 2009-10-26

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