Common cause failure estimation with no CCF observation

摘要

Modeling and quantification method for estimating the frequency of common cause failurern(CCF) events have been studied in the context of probabilistic safety assessment (PSA). Thernestimation methods classically used are based on information about each type of common-causernfailures. The main aim of this paper is to study alternative solutions when no failure event is observed.rnA case study using Bayesian framework is presented in order to illustrate which type of results couldrnbe obtained for the particular MGL CCF model.