Modeling common-cause failures using stochastic hybrid systems - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Modeling common-cause failures using stochastic hybrid systems

Résumé

In this paper, we develop a novel Common-Cause Failure (CCF) model for reliability analysis based on component degradation information. A Stochastic Hybrid Systems (SHS) model is developed to describe the components and system degradation process by state dynamics, in presence of CCFs. A component failure is either caused by cumulative degradation (independent failure) or by destructive external events (shared root causes of CCFs, e.g. tornados or earthquakes). System reliability is estimated by the First Order Second Moment (FOSM) method using conditional moments of component degradation levels acquired from the SHS model. A case study is considered regarding the Auxiliary Feedwater Pumps (AFPs) of a Nuclear Power Plant (NPP) suffering internal flooding. Results show that the SHS-based method yields an accurate estimation of reliability compared with Monte Carlo simulation.
Fichier non déposé

Dates et versions

hal-04322268 , version 1 (04-12-2023)

Identifiants

Citer

Mengfei Fan, Rui Kang, Ying Chen, Zhiguo Zeng, Enrico Zio. Modeling common-cause failures using stochastic hybrid systems. 27th European Safety and Reliability Conference, ESREL 2017, Jun 2017, Portorož, Slovenia. pp.2319-2326, ⟨10.1201/9781315210469-291⟩. ⟨hal-04322268⟩
15 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More