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Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review

Julwan Hendry Purba, JHP (2014) Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review. Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review, 76. pp. 73-80.

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Abstract

Abstrack Fault tree analysis (FTA) is a graphical model which has been widely used as a deductive tool for nuclear power plant (NPP) probabilistic safety assessment (PSA). The conventional one assumes that basic events of fault trees always have precise failure probabilities or failure rates. However, in real-world applica- tions, this assumption is still arguable. For example, there is a case where an extremely hazardous accident has never happened or occurs infrequently. Therefore, reasonable historical failure data are unavailable or insuf fi cient to be used for statistically estimating the reliability characteristics of their components. To deal with this problem, fuzzy probability approaches have been proposed and imple- mented. However, those existing approaches still have limitations, such as lack of fuzzy gate represen- tations and incapability to generate probabilities greater than 1.0E-3. Therefore, a review on the current implementations of fuzzy probabilities in the NPP PSA is necessary. This study has categorized two types of fuzzy probability approaches, i.e. fuzzy based FTA and fuzzy hybrid FTA. This study also con fi rms that the fuzzy based FTA should be used when the uncertainties are the main focus of the FTA. Meanwhile, the fuzzy hybrid FTA should be used when the reliability of basic events of fault trees can only be expressed by qualitative linguistic terms rather than numerical values.

Item Type: Article
Subjects: Keselamatan dan Keamanan Nuklir
Divisions: Pusat Teknologi dan Keselamatan Reaktor Nuklir
Depositing User: USER PTKRN BATAN
Date Deposited: 21 Aug 2018 07:46
Last Modified: 21 Aug 2018 07:46
URI: http://repo-nkm.batan.go.id/id/eprint/3749

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