Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability

Luigi PORTINALE, BOBBIO Andrea

Risultato della ricerca: Contributo alla conferenzaContributo in Atti di Convegnopeer review

Abstract

Bayesian Networks (BN) provide robust probabilistic methods of reasoning under uncertainty, but despite their formal grounds are strictly based on the notion of conditional dependence, not much attention has been paid so far to their use in dependability analysis. The aim of this paper is to propose BN as a suitable tool for dependability analysis, by challenging the formalism with basic issues arising in dependability tasks. We will discuss how both modeling and analysis issues can be naturally dealt with by BN. Moreover, we will show how some limitations intrinsic to combinatorial dependability methods such as Fault Trees can be overcome using BN. This will be pursued through the study of a real-world example concerning the reliability analysis of a redundant digital Programmable Logic Controller (PLC) with majority voting 2:3
Lingua originaleInglese
Pagine551-558
Numero di pagine8
Stato di pubblicazionePubblicato - 1 gen 1999
Evento15th Conference on Uncertainty in Artificial Intelligence - UAI99 - Stockholm, Sweden
Durata: 1 gen 1999 → …

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???event.eventtypes.event.conference???15th Conference on Uncertainty in Artificial Intelligence - UAI99
CittàStockholm, Sweden
Periodo1/01/99 → …

Keywords

  • Bayesian Networks
  • Dependability Analysis

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