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 |
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| Title of host publication | Computational Intelligence – Foundations and Applications |
| Place of Publication | Singapore, Singapore |
| Pages | 256-262 |
| Volume | 1 |
| State | Published - Aug 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 |
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| Number | 4 |
Conference
| Conference | 2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence |
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| Country/Territory | China |
| City | Chengdu |
| Period | 2010-08-02 → 2010-08-04 |