Probabilistic safety assessment in nuclear power plants by fuzzy numbers

Julwan Purba, Jie Lu, Da Ruan, Guangquan Zhang, Jan Wagemans

Research outputpeer-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 languageEnglish
Title of host publicationComputational Intelligence – Foundations and Applications
Place of PublicationSingapore, Singapore
Pages256-262
Volume1
StatePublished - Aug 2010
Event2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence - Chengdu
Duration: 2 Aug 20104 Aug 2010
Conference number: FLINS 2010

Publication series

NameComputer Engineering and Information Science
Number4

Conference

Conference2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence
Country/TerritoryChina
CityChengdu
Period2010-08-022010-08-04

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