Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies

Tune Aldemir; Don W. Miller; Audeen W. Fentiman; Steven A. Arndt

Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies

Tune Aldemir, Don W. Miller, Audeen W. Fentiman, Steven A. Arndt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Nuclear power plants are now replacing and upgrading aging and obsolete instrumentation and control (I&C) systems with digital systems. For near term applications, a digital I&C system reliability model must be compatible with the structure of current nuclear power plant probabilistic risk assessments (PRAs) which use the static event-tree/faulttree (ET/FT) approach. The limitation of the ET/FT approach in the representation of the differences between the digital I&C systems and their analog counterparts may necessitate the use of dynamic methodologies. The available methodologies for the reliability modeling of digital I&C systems are reviewed. The findings indicate that there is no single methodology currently available that: a) satisfies all the requirements for the reliability modeling digital I&C systems, and, b) is also compatible with the current PRA methodologies. A comparison of the most promising methodologies indicate that using a benchmark problem of interest to nuclear power plants on a full existing scale PRA will help resolve the existing uncertainties with their capabilities.

Original language	English
Title of host publication	American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05
Pages	1037-1045
Number of pages	9
State	Published - 2005
Externally published	Yes
Event	American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05 - San Francisco, CA, United States Duration: Sep 11 2005 → Sep 15 2005

Publication series

Name	American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05
Volume	2005

Conference

Conference	American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05
Country/Territory	United States
City	San Francisco, CA
Period	09/11/05 → 09/15/05

Cite this

Aldemir, T., Miller, D. W., Fentiman, A. W., & Arndt, S. A. (2005). Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies. In American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05 (pp. 1037-1045). (American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05; Vol. 2005).

Aldemir, Tune ; Miller, Don W. ; Fentiman, Audeen W. et al. / Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies. American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05. 2005. pp. 1037-1045 (American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05).

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title = "Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies",

abstract = "Nuclear power plants are now replacing and upgrading aging and obsolete instrumentation and control (I&C) systems with digital systems. For near term applications, a digital I&C system reliability model must be compatible with the structure of current nuclear power plant probabilistic risk assessments (PRAs) which use the static event-tree/faulttree (ET/FT) approach. The limitation of the ET/FT approach in the representation of the differences between the digital I&C systems and their analog counterparts may necessitate the use of dynamic methodologies. The available methodologies for the reliability modeling of digital I&C systems are reviewed. The findings indicate that there is no single methodology currently available that: a) satisfies all the requirements for the reliability modeling digital I&C systems, and, b) is also compatible with the current PRA methodologies. A comparison of the most promising methodologies indicate that using a benchmark problem of interest to nuclear power plants on a full existing scale PRA will help resolve the existing uncertainties with their capabilities.",

author = "Tune Aldemir and Miller, {Don W.} and Fentiman, {Audeen W.} and Arndt, {Steven A.}",

year = "2005",

language = "English",

isbn = "089448690X",

series = "American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05",

pages = "1037--1045",

booktitle = "American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05",

note = "American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05 ; Conference date: 11-09-2005 Through 15-09-2005",

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Aldemir, T, Miller, DW, Fentiman, AW & Arndt, SA 2005, Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies. in American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05. American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05, vol. 2005, pp. 1037-1045, American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05, San Francisco, CA, United States, 09/11/05.

Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies. / Aldemir, Tune; Miller, Don W.; Fentiman, Audeen W. et al.
American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05. 2005. p. 1037-1045 (American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies

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AU - Arndt, Steven A.

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AB - Nuclear power plants are now replacing and upgrading aging and obsolete instrumentation and control (I&C) systems with digital systems. For near term applications, a digital I&C system reliability model must be compatible with the structure of current nuclear power plant probabilistic risk assessments (PRAs) which use the static event-tree/faulttree (ET/FT) approach. The limitation of the ET/FT approach in the representation of the differences between the digital I&C systems and their analog counterparts may necessitate the use of dynamic methodologies. The available methodologies for the reliability modeling of digital I&C systems are reviewed. The findings indicate that there is no single methodology currently available that: a) satisfies all the requirements for the reliability modeling digital I&C systems, and, b) is also compatible with the current PRA methodologies. A comparison of the most promising methodologies indicate that using a benchmark problem of interest to nuclear power plants on a full existing scale PRA will help resolve the existing uncertainties with their capabilities.

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M3 - Conference contribution

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BT - American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05

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Aldemir T, Miller DW, Fentiman AW, Arndt SA. Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies. In American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05. 2005. p. 1037-1045. (American Nuclear Society International Topical Meeting on Probabilistic Safety Analysis, PSA 05).

Integration of reliability models for nuclear power plant digital instrumentation and control systems into probabilistic risk assessment studies

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