Sensitivity Study on Availability of I&C Components Using Bayesian Network

Abstract EN

The objective of this study is to find out the impact of instrumentation and control (I&C) components on the availability of I&C systems in terms of sensitivity analysis using Bayesian network.

The analysis has been performed on I&C architecture of reactor protection system.

The analysis results would be applied to develop I&C architecture which will meet the desire reliability features and save cost.

RPS architecture unavailability P(x=0) and availability P(x=1) were estimated to 6.1276E-05 and 9.9994E-01 for failure (0) and perfect (1) states, respectively.

The impact of I&C components on overall system risk has been studied in terms of risk achievement worth (RAW) and risk reduction worth (RRW).

It is found that circuit breaker failure (TCB), bi-stable processor (BP), sensor transmitter (TR), and pressure transmitter (PT) have high impact on risk.

The study concludes and recommends that circuit breaker bi-stable processor should be given more consideration while designing I&C architecture.