Italiano (Italian) English (Inglese)
Tuesday, 20 March 2018


Pubblication Details
Authors:Daniele Codetta Raiteri
Luigi Portinale
Scientific Area:Diagnosis
Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Title:Predictive and diagnostic analysis of an holdup tank by means of Dynamic Bayesian Networks
Published on:Proceedings of the Advances in Risk and Reliability Technology Symposium
Publisher:Loughborough University
Tipo Pubblicazione:Paper on Proceedings International Conference
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.