Diagnosing tree-structured systems

Citation
M. Stumptner et F. Wotawa, Diagnosing tree-structured systems, ARTIF INTEL, 127(1), 2001, pp. 1-29
Citations number
21
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ARTIFICIAL INTELLIGENCE
ISSN journal
00043702 → ACNP
Volume
127
Issue
1
Year of publication
2001
Pages
1 - 29
Database
ISI
SICI code
0004-3702(200103)127:1<1:DTS>2.0.ZU;2-G
Abstract
This paper introduces the TREE/TREE* algorithm for computing minimal diagno ses for tree-structured systems. Diagnoses are computed by descending into the tree, enumerating the input combinations that might be responsible for a given incorrect observation, and combining the diagnoses for the subtrees generating these inputs into diagnoses for the whole system. Algorithm TRE E diagnoses systems containing functional components and algorithm TREE* di agnoses more general constraint-based components. We prove soundness and co rrectness of the algorithms and show experimental results that indicate tha t they compare favorably to Reiter's hitting-set-based algorithm and El Fat tah and Dechter's SAB. Extensions of the algorithms such as use of fault mo des are discussed. (C) 2001 Elsevier Science B.V. All rights reserved.