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Modeling common-cause failures using stochastic hybrid systems

  • Beihang University
  • Université Paris-Saclay
  • Polytechnic University of Milan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSafety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017
EditorsMarko Cepin, Radim Briš
PublisherCRC Press/Balkema
Pages2319-2326
Number of pages8
ISBN (Print)9781138629370
DOIs
StatePublished - 2017
Event27th European Safety and Reliability Conference, ESREL 2017 - Portorož, Slovenia
Duration: 18 Jun 201722 Jun 2017

Publication series

NameSafety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017

Conference

Conference27th European Safety and Reliability Conference, ESREL 2017
Country/TerritorySlovenia
CityPortorož
Period18/06/1722/06/17

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