Probabilistic safety assessment in nuclear power plants by fuzzy numbers

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Authors

  • Julwan Purba
  • Jie Lu
  • Da Ruan
  • Guangquan Zhang

Documents & links

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.

Details

Original languageEnglish
Title of host publicationComputational Intelligence – Foundations and Applications
Place of PublicationSingapore, Singapore
Pages256-262
Volume1
Publication statusPublished - Aug 2010
EventThe 9th International FLINS Conference - FLINS2010, Chengdu, China
Duration: 2 Aug 20104 Aug 2010

Publication series

NameComputer Engineering and Information Science
Number4

Conference

ConferenceThe 9th International FLINS Conference
CountryChina
CityChengdu
Period2010-08-022010-08-04

Keywords

  • Probabilistic safety assessment, nuclear power plants (NPPs), fuzzy numbers, expert justification

ID: 82527