A benchmark system for comparing reliability modeling approaches for digital instrumentation and control systems

Jason Kirschenbaum; Paolo Bucci; Michael Stovsky; Diego Mandelli; Tunc Aldemir; Michael Yau; Sergio Guarro; Eylem Ekici; Steven A. Arndt

doi:10.13182/NT09-A4062

A benchmark system for comparing reliability modeling approaches for digital instrumentation and control systems

Jason Kirschenbaum, Paolo Bucci, Michael Stovsky, Diego Mandelli, Tunc Aldemir, Michael Yau, Sergio Guarro, Eylem Ekici, Steven A. Arndt

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

There is an accelerating trend to upgrade and replace nuclear power plant analog instrumentation and control systems with digital systems. While various methodologies are available for the reliability modeling of these systems for plant probabilistic risk assessments, there is no benchmark system that can be used as the basis for methodology comparison. A system representative of the steam generator feedwater control systems in pressurized water reactors is proposed for such a comparison. Dynamic reliability modeling of the benchmark system for an example initiating event is illustrated using the Markov/cell-to-cell mapping technique and dynamic flowgraph methodologies.

Original language	English
Pages (from-to)	53-95
Number of pages	43
Journal	Nuclear Technology
Volume	165
Issue number	1
DOIs	https://doi.org/10.13182/NT09-A4062
State	Published - Jan 2009
Externally published	Yes

Keywords

Dynamic PRA
Dynamic flowgraph methodology
Markov

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10.13182/NT09-A4062

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AU - Yau, Michael

AU - Guarro, Sergio

AU - Ekici, Eylem

AU - Arndt, Steven A.

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AB - There is an accelerating trend to upgrade and replace nuclear power plant analog instrumentation and control systems with digital systems. While various methodologies are available for the reliability modeling of these systems for plant probabilistic risk assessments, there is no benchmark system that can be used as the basis for methodology comparison. A system representative of the steam generator feedwater control systems in pressurized water reactors is proposed for such a comparison. Dynamic reliability modeling of the benchmark system for an example initiating event is illustrated using the Markov/cell-to-cell mapping technique and dynamic flowgraph methodologies.

KW - Dynamic PRA

KW - Dynamic flowgraph methodology

KW - Markov

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A benchmark system for comparing reliability modeling approaches for digital instrumentation and control systems

Abstract

Keywords

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