Parametric Models for Analysis of Common Cause Failure

Abstract

For the viewpoint of the Probabilistic Safety Assessment, quantitative analysis of dependent failure, particularly CCF: Common Cause Failure, is one of the most important and difficult problems to deal practicaly. Parametric Model method, a kind of the methods for analysis of dependent failure, include several kinds of models, such as the Beta Factor model, the BFR model and etc.. Since the group of the Parametric Models have not been enough studied systematically yet, they are not neccessarily applied accurately for the analysis of CCF. Therefore, it is neccessary to systematize the group of the Parametric Models for applying the models effectively and successfully to the analysis.
In this paper, clear classification of the above Parametric Models was obtained and their characteristics were made clear. As a result, it is easier to obtain more useful procedure for accurate applications of the Parametric Models to the analysis of CCF with actual data.