Application of Probabilistic Safety Assessment to the Pipe Rupture Incident at Hamaoka Unit-1

Kishi, Tohru; Kikuchi, Hiromu; Miura, S.; Fukuda, Mamoru; Hirano, Mitsumasa; Watanabe, Norio

doi:10.1080/18811248.2004.9715461

Cited by 3 publications

(2 citation statements)

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“…A set of seven membership function of triangular fuzzy numbers has been developed in Purba et al [22] to mathematically represent those seven basic event qualitative failure possibilities in (1) as denoted in (2)(3)(4)(5)(6)(7)(8).…”

Section: Failure Possibility Membership Functionsmentioning

confidence: 99%

“…Fault tree analysis (FTA) provides a comprehensive and structured approach to identify and understand key plant vulnerabilities, to develop accident scenarios, to assess the level of plant safety, and to derive numerical estimates of potential risks. [1][2][3] It has been used in the last two decades to study the level I probabilistic safety assessment (PSA) of nuclear power plants (NPPs). [4][5][6] Due to the complexity of FTA, a number of personal computer-based software systems have been developed.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent System by Fuzzy Reliability Algorithm in Fault Tree Analysis for Nuclear Power Plant Probabilistic Safety Assessment

Purba

Zhang

2014

Int. J. Comp. Intel. Appl.

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Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems.

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