Data specialization for plant specific risk studies

Abstract

Bayes' theorem is used to derive plant specific distributions for the failure rates of components. Methods are suggested for the derivation of generic distributions from information that appears in the literature. These distributions are used as prior distributions in Bayes' theorem and they are modified using plant specific data. The posterior distributions thus derived can be used as inputs in a plant specific risk analysis.