Applying generalized continuous time Bayesian networks to a reliability case study

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Abstract

We discuss the main features of Generalized Continuous Time Bayesian Networks (GCTBN) as a reliability formalism: we resort to a specific case study taken from the literature, and we discuss modeling choices, analysis results and advantages with respect to other formalisms. From the modeling point of view, GTCBN can represent dependencies involving system components, together with the possibility of a continuous time evaluation of the model. From the analysis point of view, any task ascribable to a posterior probability computation can be implemented, such as the computation of system unreliability, importance (sensitivity) indices, system state prediction and diagnosis.

Lingua originaleInglese
pagine (da-a)676-681
Numero di pagine6
RivistaIFAC-PapersOnLine
Volume28
Numero di pubblicazione21
DOI
Stato di pubblicazionePubblicato - 1 set 2015
Evento9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 - Paris, France
Durata: 2 set 20154 set 2015

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