Component ranking by Birnbaum importance in presence of epistemic uncertainty in failure event probabilities - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Reliability Année : 2013

Component ranking by Birnbaum importance in presence of epistemic uncertainty in failure event probabilities

Résumé

Birnbaum Importance Measure (IM) allows ranking the components of a system with respect to the impact that their failures have on the system's performance, e.g., its reliability or availability. Such ranking is done in industry to efficiently manage Operation and Maintenance (O&M) activities, and to optimize plant design. In the computation of the Birnbaum IM of the components, uncertainty in the parameters of the system model is often neglected. This neglect may lead to erroneous, possibly non-conservative ranking. In this work, we develop a method based on Possibility Theory (PT) for giving due account to epistemic uncertainties in Birnbaum IMs. An example is given with reference to the components of the Auxiliary FeedWater System (AFWS) of a Nuclear Power Plant (NPP).
Fichier principal
Vignette du fichier
BaraldiCompareZio.pdf (615.88 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00926352 , version 1 (09-01-2014)

Identifiants

Citer

Piero Baraldi, Michele Compare, Enrico Zio. Component ranking by Birnbaum importance in presence of epistemic uncertainty in failure event probabilities. IEEE Transactions on Reliability, 2013, 62 (1), pp.37-48. ⟨10.1109/TR.2013.2240885⟩. ⟨hal-00926352⟩
93 Consultations
813 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More