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 |
Pagine: | 296-307 |
Editore: | Loughborough University |
Anno: | 2013 |
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. |