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- W2042035112 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." @default.
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- W2042035112 date "2014-01-01" @default.
- W2042035112 modified "2023-10-17" @default.
- W2042035112 title "Reliability analysis of nuclear I&C architecture using Bayesian networks" @default.
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- W2042035112 doi "https://doi.org/10.1109/ibcast.2014.6778141" @default.
- W2042035112 hasPublicationYear "2014" @default.
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