Predictive and diagnostic analysis of an holdup tank by means of Dynamic Bayesian Network

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Abstract

In dynamic reliability evaluation, the complete behaviour of the system has to be taken into account. In this paper, a benchmark taken from the literature is examined. To this aim, we exploit Dynamic Bayesian Networks (DBN) extending standard Bayesian networks by introducing a discrete temporal dimension. The goals are the prediction of the system unreliability and the computation of diagnostic indices. Because of the achievement of such goals, we propose DBN to be a valid approach for dynamic reliability evaluation.
Lingua originaleInglese
Pagine296-307
Numero di pagine12
Stato di pubblicazionePubblicato - 1 gen 2013
EventoAdvances in Risk and Reliability Technology Symposium (AR2TS) - Nottingham (UK)
Durata: 1 gen 2013 → …

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???event.eventtypes.event.conference???Advances in Risk and Reliability Technology Symposium (AR2TS)
CittàNottingham (UK)
Periodo1/01/13 → …

Keywords

  • Dynamic Bayesian Networks
  • Reliability

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