Probabilistic safety assessment in nuclear power plants by fuzzy numbers

Julwan Hendry Purba; Jie Lu; Da Ruan; Guangquan Zhang

doi:10.1142/9789814324700_0037

Probabilistic safety assessment in nuclear power plants by fuzzy numbers

Julwan Hendry Purba
, Jie Lu
, Da Ruan
, Guangquan Zhang

Research output › peer-review

Abstract

Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data are not always available in practice. This paper presents an approach by combining fuzzy numbers and expert justification to assess an NPP probabilistic failure rate in the absence of statistical data. The proposed approach illustrates a case study for high pressure core spray systems of boiling water reactors.

Original language	English
Title of host publication	Computational Intelligence Foundations and Applications
Subtitle of host publication	Proceedings of the 9th International FLINS Conference, FLINS 2010
Editors	Da Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu
Place of Publication	Singapore, Singapore
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	256-262
Number of pages	7
Volume	1
ISBN (Electronic)	9814324698, 9789814324694
ISBN (Print)	978-981-4324-69-4
DOIs	https://doi.org/10.1142/9789814324700_0037
State	Published - 2010
Event	2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence - Chengdu Duration: 2 Aug 2010 → 4 Aug 2010 Conference number: FLINS 2010

Publication series

Name	Computer Engineering and Information Science
Number	4

Conference

Conference	2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence
Country/Territory	China
City	Chengdu
Period	2010-08-02 → 2010-08-04

ASJC Scopus subject areas

Nuclear and High Energy Physics
Computational Theory and Mathematics
Information Systems

Access to Document

10.1142/9789814324700_0037License: Unspecified

Cite this

Purba, J. H., Lu, J., Ruan, D., & Zhang, G. (2010). Probabilistic safety assessment in nuclear power plants by fuzzy numbers. In D. Ruan, E. E. Kerre, D. Ruan, G. Chen, T. Li, & Y. Xu (Eds.), Computational Intelligence Foundations and Applications: Proceedings of the 9th International FLINS Conference, FLINS 2010 (Vol. 1, pp. 256-262). (Computer Engineering and Information Science; No. 4). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789814324700_0037

Purba, Julwan Hendry ; Lu, Jie ; Ruan, Da et al. / Probabilistic safety assessment in nuclear power plants by fuzzy numbers. Computational Intelligence Foundations and Applications: Proceedings of the 9th International FLINS Conference, FLINS 2010. editor / Da Ruan ; Etienne E. Kerre ; Da Ruan ; Guoqing Chen ; Tianrui Li ; Yang Xu. Vol. 1 Singapore, Singapore : World Scientific Publishing Co. Pte Ltd, 2010. pp. 256-262 (Computer Engineering and Information Science; 4).

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title = "Probabilistic safety assessment in nuclear power plants by fuzzy numbers",

abstract = "Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data are not always available in practice. This paper presents an approach by combining fuzzy numbers and expert justification to assess an NPP probabilistic failure rate in the absence of statistical data. The proposed approach illustrates a case study for high pressure core spray systems of boiling water reactors.",

keywords = "Expert justification, Fuzzy numbers, Nuclear power plants (NPPs), Probabilistic safety assessment",

author = "Purba, \{Julwan Hendry\} and Jie Lu and Da Ruan and Guangquan Zhang",

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language = "English",

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series = "Computer Engineering and Information Science",

publisher = "World Scientific Publishing Co. Pte Ltd",

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editor = "Da Ruan and Kerre, \{Etienne E.\} and Da Ruan and Guoqing Chen and Tianrui Li and Yang Xu",

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Purba, JH, Lu, J, Ruan, D & Zhang, G 2010, Probabilistic safety assessment in nuclear power plants by fuzzy numbers. in D Ruan, EE Kerre, D Ruan, G Chen, T Li & Y Xu (eds), Computational Intelligence Foundations and Applications: Proceedings of the 9th International FLINS Conference, FLINS 2010. vol. 1, Computer Engineering and Information Science, no. 4, World Scientific Publishing Co. Pte Ltd, Singapore, Singapore, pp. 256-262, 2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence, Chengdu, China, 2010-08-02. https://doi.org/10.1142/9789814324700_0037

Probabilistic safety assessment in nuclear power plants by fuzzy numbers. / Purba, Julwan Hendry; Lu, Jie; Ruan, Da et al.
Computational Intelligence Foundations and Applications: Proceedings of the 9th International FLINS Conference, FLINS 2010. ed. / Da Ruan; Etienne E. Kerre; Da Ruan; Guoqing Chen; Tianrui Li; Yang Xu. Vol. 1 Singapore, Singapore: World Scientific Publishing Co. Pte Ltd, 2010. p. 256-262 (Computer Engineering and Information Science; No. 4).

Research output › peer-review

TY - GEN

T1 - Probabilistic safety assessment in nuclear power plants by fuzzy numbers

AU - Purba, Julwan Hendry

AU - Lu, Jie

AU - Ruan, Da

AU - Zhang, Guangquan

N1 - Conference code: FLINS 2010

PY - 2010

Y1 - 2010

N2 - Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data are not always available in practice. This paper presents an approach by combining fuzzy numbers and expert justification to assess an NPP probabilistic failure rate in the absence of statistical data. The proposed approach illustrates a case study for high pressure core spray systems of boiling water reactors.

AB - Probabilistic safety assessment in nuclear power plants (NPPs) greatly considers plant safety and optimal plant design. Plant specific data are usually recommended to analyze safety in NPPs. However, such NPP specific data are not always available in practice. This paper presents an approach by combining fuzzy numbers and expert justification to assess an NPP probabilistic failure rate in the absence of statistical data. The proposed approach illustrates a case study for high pressure core spray systems of boiling water reactors.

KW - Expert justification

KW - Fuzzy numbers

KW - Nuclear power plants (NPPs)

KW - Probabilistic safety assessment

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BT - Computational Intelligence Foundations and Applications

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PB - World Scientific Publishing Co. Pte Ltd

CY - Singapore, Singapore

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Purba JH, Lu J, Ruan D, Zhang G. Probabilistic safety assessment in nuclear power plants by fuzzy numbers. In Ruan D, Kerre EE, Ruan D, Chen G, Li T, Xu Y, editors, Computational Intelligence Foundations and Applications: Proceedings of the 9th International FLINS Conference, FLINS 2010. Vol. 1. Singapore, Singapore: World Scientific Publishing Co. Pte Ltd. 2010. p. 256-262. (Computer Engineering and Information Science; 4). doi: 10.1142/9789814324700_0037