Pubblicazioni
| Autori: | Luigi Portinale |
| Area Scientifica: | Uncertain Reasoning |
| Probabilistic Graphical Models | |
| Dependability and Reliability | |
| Titolo: | Bayesian Belief Networks in Reliability (Tutorial) |
| Apparso su: | 58th Annual Reliability and Maintainability Symposium, RAMS 2012 |
| Editore: | IEEE |
| Anno: | 2012 |
| Tipo Pubblicazione: | Paper on Proceedings International Conference |
| URL: | http://www.xcdsystem.co...012/cdrom/tutorials/09a.pdf |
| Sommario: | This tutorial will provide insights about the use of probabilistic graphical models based on the Bayesian belief network formalism for reliability and dependability analysis. Bayesian networks (BNs) have become a popular tool for modeling many kinds of statistical problems. Recently, we have also seen a growing interest for using BNs in the reliability analysis community. In this tutorial, we will discuss the properties of the modeling framework that make BNs particularly well suited for reliability applications. Modeling as well as analysis issues are discussed, together with a selection of case studies that will be used to explain the concepts that are introduced. We finally point to ongoing research that is relevant for practitioners in reliability. |