Reliability analysis of nuclear I&C architecture using Bayesian networks

Author

Ur, Rahman Khalil ; Zubair, Mohammad ; Gyunyoung Heo

Author_Institution

Dept. of Nucl. Eng., Kyung Hee Univ. (KHU), Yongin, South Korea

fYear

2014

fDate

14-18 Jan. 2014

Firstpage

169

Lastpage

174

Abstract

The components and modules in an Instrumentation and Control (I&C) architecture have importance and their importance is being considered during design phase in qualitative manner. This study has been performed to simulate availability and importance analysis of various architecture configurations of nuclear Instrumentation & Control (I&C) systems by using Bayesian network models. A case study of four I&C architectures of a reactor protection system have been formulated and their Bayesian network models has been constructed to get the availability analysis and Risk Reduction Worth (RRW). The architecture of case 4 has been identified as highly reliable with availability of 0.9999996.

Keywords

fission reactor instrumentation; fission reactor safety; Bayesian networks; design phase; importance analysis; instrumentation and control; nuclear I&C architecture; reactor protection system; reliability analysis; risk reduction worth; Analytical models; Availability; Bayes methods; Computer architecture; Inductors; Program processors; Availability; Bayesian Network; Instrumentation and Control; Probabilistic Safety Assessment; Reliability; Sensitivity Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on

Conference_Location

Islamabad

Type

conf

DOI

10.1109/IBCAST.2014.6778141

Filename

6778141