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mercoledì, 21 marzo 2018


Dettagli Pubblicazione
Autori:Daniele Codetta Raiteri
Luigi Portinale
Area Scientifica:Diagnosis
Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Titolo:Predictive and diagnostic analysis of an holdup tank by means of Dynamic Bayesian Networks
Apparso su:Proceedings of the Advances in Risk and Reliability Technology Symposium
Editore:Loughborough University
Tipo Pubblicazione:Paper on Proceedings International Conference
Sommario: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.