Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs

P. Bucci; L. A. Mangan; J. Kirschenbaum; D. Mandelli; T. Aldemir; S. A. Arndt

Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs

P. Bucci, L. A. Mangan, J. Kirschenbaum, D. Mandelli, T. Aldemir, S. A. Arndt

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

8 Scopus citations

Abstract

Markov models have the ability to capture the statistical dependence between failure events that can arise in the presence of complex dynamic interactions between components of digital instrumentation and control systems. One obstacle to the use of such models in an existing probabilistic risk assessment (PRA) is that most of the currently available PRA software is based on the static event-tree/fault-tree methodology which often cannot represent such interactions. We present an approach to the integration of Markov reliability models into existing PRAs by describing the Markov model of a digital steam generator feedwater level control system, how dynamic event trees (DETs) can be generated from the model, and how the DETs can be incorporated into an existing PRA with the SAPHIRE software.

Original language	English
Title of host publication	5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)
Pages	269-276
Number of pages	8
State	Published - 2006
Externally published	Yes
Event	5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) - Albuquerque, NM, United States Duration: Nov 12 2006 → Nov 16 2006

Publication series

Name	5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)
Volume	2006

Conference

Conference	5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)
Country/Territory	United States
City	Albuquerque, NM
Period	11/12/06 → 11/16/06

Cite this

Bucci, P., Mangan, L. A., Kirschenbaum, J., Mandelli, D., Aldemir, T., & Arndt, S. A. (2006). Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs. In 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) (pp. 269-276). (5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006); Vol. 2006).

Bucci, P. ; Mangan, L. A. ; Kirschenbaum, J. et al. / Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs. 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006). 2006. pp. 269-276 (5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)).

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title = "Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs",

abstract = "Markov models have the ability to capture the statistical dependence between failure events that can arise in the presence of complex dynamic interactions between components of digital instrumentation and control systems. One obstacle to the use of such models in an existing probabilistic risk assessment (PRA) is that most of the currently available PRA software is based on the static event-tree/fault-tree methodology which often cannot represent such interactions. We present an approach to the integration of Markov reliability models into existing PRAs by describing the Markov model of a digital steam generator feedwater level control system, how dynamic event trees (DETs) can be generated from the model, and how the DETs can be incorporated into an existing PRA with the SAPHIRE software.",

author = "P. Bucci and Mangan, {L. A.} and J. Kirschenbaum and D. Mandelli and T. Aldemir and Arndt, {S. A.}",

year = "2006",

language = "English",

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series = "5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)",

pages = "269--276",

booktitle = "5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)",

note = "5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006) ; Conference date: 12-11-2006 Through 16-11-2006",

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Bucci, P, Mangan, LA, Kirschenbaum, J, Mandelli, D, Aldemir, T & Arndt, SA 2006, Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs. in 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006). 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006), vol. 2006, pp. 269-276, 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006), Albuquerque, NM, United States, 11/12/06.

Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs. / Bucci, P.; Mangan, L. A.; Kirschenbaum, J. et al.
5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006). 2006. p. 269-276 (5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006); Vol. 2006).

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

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AU - Bucci, P.

AU - Mangan, L. A.

AU - Kirschenbaum, J.

AU - Mandelli, D.

AU - Aldemir, T.

AU - Arndt, S. A.

PY - 2006

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AB - Markov models have the ability to capture the statistical dependence between failure events that can arise in the presence of complex dynamic interactions between components of digital instrumentation and control systems. One obstacle to the use of such models in an existing probabilistic risk assessment (PRA) is that most of the currently available PRA software is based on the static event-tree/fault-tree methodology which often cannot represent such interactions. We present an approach to the integration of Markov reliability models into existing PRAs by describing the Markov model of a digital steam generator feedwater level control system, how dynamic event trees (DETs) can be generated from the model, and how the DETs can be incorporated into an existing PRA with the SAPHIRE software.

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T3 - 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)

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EP - 276

BT - 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)

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Y2 - 12 November 2006 through 16 November 2006

ER -

Bucci P, Mangan LA, Kirschenbaum J, Mandelli D, Aldemir T, Arndt SA. Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs. In 5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006). 2006. p. 269-276. (5th International Topical Meeting on Nuclear Plant Instrumentation Controls, and Human Machine Interface Technology (NPIC and HMIT 2006)).

Incorporation of Markov reliability models for digital instrumentation and control systems into existing PRAs

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