@inproceedings{2f55f1f6fe5544cfb7e7147002ce9c5f,
title = "Modeling common-cause failures using stochastic hybrid systems",
abstract = "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.",
author = "Mengfei Fan and Rui Kang and Ying Chen and Zhiguo Zeng and Enrico Zio",
note = "Publisher Copyright: {\textcopyright} 2017 Taylor \& Francis Group, London.; 27th European Safety and Reliability Conference, ESREL 2017 ; Conference date: 18-06-2017 Through 22-06-2017",
year = "2017",
doi = "10.1201/9781315210469-291",
language = "英语",
isbn = "9781138629370",
series = "Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017",
publisher = "CRC Press/Balkema",
pages = "2319--2326",
editor = "Marko Cepin and Radim Bri{\v s}",
booktitle = "Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017",
}