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An Approach for Assessing of Plant-specific Data Variation

  • Chang-Ju Lee
  • Kye-Yong Sung
Conference paper

Abstract

In spite of the current general trends of reliability data analysis using Bayesian techniques, which have been applied in most Korean PSAs, it is also necessary to apply the plant-specific data alone in risk-informed applications, because it can give more plant-specific insights. Considering the application of effective plant-specific data evidence, we developed the simulation methods for uncertainty propagation. With the separation of two uncertainty categories of both lack of knowledge and stochastic features, we can propagate the parameter uncertainty using Monte Carlo simulation technique. From the example application for the consideration on the arbitrary plant-specific input parameters, it shows that more broad uncertainty bounds can be developed than the case of generic input parameters.

Keywords

System Safety Uncertainty Propagation Epistemic Uncertainty Latin Hypercube Sampling Reliability Engineering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Chang-Ju Lee
    • 1
  • Kye-Yong Sung
    • 1
  1. 1.Korea Institute of Nuclear SafetyDaejeonRepublic of Korea

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