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The SACSO methodology for troubleshooting complex systems

  • FINN V. JENSEN (a1), UFFE KJÆRULFF (a1), BRIAN KRISTIANSEN (a2), HELGE LANGSETH (a1), CLAUS SKAANNING (a2), JIŘÍ VOMLEL (a1) and MARTA VOMLELOVÁ (a1)...
    • Published online: 11 January 2002
Abstract

The paper describes the task of performing efficient decision-theoretic troubleshooting of electromechanical devices. In general, this task is NP-complete, but under fairly strict assumptions, a greedy approach will yield an optimal sequence of actions, as discussed in the paper. This set of assumptions is weaker than the set proposed by Heckerman et al. (1995). However, the printing system domain, which motivated the research and which is described in detail in the paper, does not meet the requirements for the greedy approach, and a heuristic method is used. The method takes value of identification of the fault into account and it also performs a partial two-step look-ahead analysis. We compare the results of the heuristic method with optimal sequences of actions, and find only minor differences between the two.

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Corresponding author
Reprint requests to: Professor Finn V. Jensen, Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7, DK-9220 Aalborg, Denmark. E-mail: fvj@cs.auc.dk
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AI EDAM
  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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