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A Probabilistic-Based Algorithm to Diagnose Complex Electronic Systems (2004)  (Make Corrections)  
Mohamed-Amine Maalej, Vronique Delcroix, Sylvain PIECHOWIAK



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Abstract: The complexity of electronic devices increases continually; that is why diagnosing actual circuits is more and more difficult. Different diagnosing methods exist. The aim of this paper is to present a new model-based diagnosis method that uses the Bayesian network to describe the system and to compute the probability of the most likely diagnoses. This method determines one of the most probable sets of components which explain the abnormal behavior of a faulty system. When the list of... (Update)

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BibTeX entry:   (Update)

@misc{ maalej-probabilisticbased,
  author = "Mohamed-Amine Maalej and Vronique Delcroix and Sylvain PIECHOWIAK",
  title = "A Probabilistic-Based Algorithm to Diagnose Complex Electronic Systems",
  url = "citeseer.ist.psu.edu/maalej04probabilisticbased.html" }
Citations (may not include all citations):
760   Probabilistic Reasoning in Intelligent Systems (context) - Pearl - 1988
284   The computational complexity of probabilistic inference usin.. (context) - Cooper - 1990
189   Diagnosing multiple faults (context) - De Kleer, Williams - 1987
70   Propagating Uncertainty in Bayesian Networks by Probabilisti.. (context) - Henrion - 1988
67   and structuring in belief networks (context) - Pearl, propagation - 1986
19   Focusing on Probable diagnoses (context) - De Kleer - 1991
12   Model-based Diagnosis using Causal Networks - Darwiche - 1995
4   Diagnosis with be-havioural modes (context) - De Kleer, Williams - 1989
3   A Survey of Algorithms for RealTime Bayesian Network Inferen.. - Guo, Hsu - 2002
1   A constraint network manager for diagnosing (context) - Piechowiak, Rodriguez - 1994
1   Calcul des diagnostics les plus probables a posteriori (context) - Delcroix, Piechowiak et al. - 2003

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