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Parallel model-based diagnosis using PVM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The present paper outlines the PVM implementation of a particular approach to model-based diagnosis which uses a Petri net model of the system to be diagnosed. Parallel backward reachability analysis on the state space of the net is used to explain the misbehavior of the modeled system. The analysis algorithm is based on the automatic identification of the parallelism present in the structure of the Petri net model. Starting from the above information, an MIMD message passing program is automatically constructed. PVM has proved to be a useful tool for implementing the above parallel programs; in particular, we tested the approach by implementing a parallel program for a car fault diagnosis domain.

Original languageEnglish
Title of host publicationParallel Virtual Machine – EuroPVM 1996 - 3rd European PVM Conference, Proceedings
EditorsArndt Bode, Thomas Ludwig, Jack Dongarra, Vaidy Sunderam
PublisherSpringer Verlag
Pages331-334
Number of pages4
ISBN (Print)3540617795, 9783540617792
DOIs
Publication statusPublished - 1996
Externally publishedYes
Event3rd European Conference on Parallel Virtual Machine, EuroPVM 1996 - Munich, Germany
Duration: 7 Oct 19969 Oct 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1156
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd European Conference on Parallel Virtual Machine, EuroPVM 1996
Country/TerritoryGermany
CityMunich
Period7/10/969/10/96

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