A benchmark system for the reliability modeling of digital instrumentation and control systems

D. Mandelli, T. Aldemir, J. Kirschenbaum, P. Bucci, D. W. Miller, M. Stovsky, E. Ekici, S. A. Arndt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A candidate system is proposed as a benchmark for the assessment of methods for the reliability modeling of digital instrumentation and control (I&C) systems. The system under consideration is the digital feedwater control system (DFWCS) of a typical pressurized water reactor (PWR). A detailed description of the components, control laws, failure modes of the components and the communication logic is presented. A representation of the benchmark DFWCS as a finite state machine is also given. The finite state machine description is useful to: a) visualize and establish all the possible connections between the components (system topology), and, b) show how information regarding the status of the system is shared among system components. It is also shown how specific I&C failures, such as a failure in communications, are directly implemented in the model. Finally, requirements for such a benchmark system are revisited and discussed relative to the benchmark system presented.

Original languageEnglish
Title of host publication9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008
Pages1063-1073
Number of pages11
StatePublished - 2008
Externally publishedYes
Event9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008 - Hong Kong, China
Duration: May 18 2008May 23 2008

Publication series

Name9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008
Volume2

Conference

Conference9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008
Country/TerritoryChina
CityHong Kong
Period05/18/0805/23/08

Keywords

  • Dynamic PRA
  • I&C Reliability
  • Reliability modeling

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