Proposal of uncertainty analysis methodology for L1PRA using Markov state-transition model-Reference-Cited by-同舟云学术

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Proposal of uncertainty analysis methodology for L1PRA using Markov state-transition model

Published:2023-12-04 Issue: Volume: Page:1-14
ISSN:0022-3131
Container-title:Journal of Nuclear Science and Technology
language:en
Short-container-title:Journal of Nuclear Science and Technology

Author:

Haruhara Masanobu¹,Muta Hitoshi¹,Ohtori Yasuki¹,Yamagishi Shohei¹²,Terayama Shota¹

Affiliation:

1. Common Major in Nuclear Energy, Tokyo City University, Setagaya-ku Tokyo, Japan

2. ITOCHU Techno-Solutions Corporation, Minato-ku, Tokyo, Japan

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00223131.2023.2287111

Reference19 articles.

1. Nuclear Regulation Authority Operational guidelines for Enhancing the safety of practical Power Reactors Mar. 2020. [in Japanese]

2. U.S.NRC. Dynamic reliability modeling of digital Instrumentation and control systems for Nuclear reactor probabilistic risk assessments (NUREG/CR-6942). U.S.NRC; Oct 2007.

3. U.S.NRC. Traditional probabilistic risk Assessment methods for digital systems (NUREG/CR-6962). U.S.NRC; Oct 2008.

4. U.S.NRC A benchmark implementation of two dynamic methodologies for the reliability modeling of digital Instrumentation and control systems (NUREG/CR-6985) Sept. 2009.

5. U.S.NRC. Development of a statistical testing approach for quantifying safety-related digital system on demand failure probability (NUREG/CR-7234). U.S.NRC; Dec 2017.

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