A survey of dynamic methodologies for probabilistic safety assessment of nuclear power plants-Reference-Cited by-同舟云学术

A survey of dynamic methodologies for probabilistic safety assessment of nuclear power plants

Published:2013-02 Issue: Volume:52 Page:113-124
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Aldemir Tunc

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference78 articles.

1. Dynamic event trees in accident sequence analysis: application to steam generator tube rupture;Acosta;Reliability Engineering and System Safety,1993

2. Adolfsson, Y., Holmberg, J.-E., Hultqvist, G., Kudinov, P., Männistö, I., 2011. In: Proceedings of the Deterministic/Probabilistic Safety Analysis Workshop, October 2011, VTT-R-07266-11. VTT, Espoo, Finland.

3. Computer-assisted Markov failure modeling of process control systems;Aldemir;IEEE Transactions on Reliability,1987

4. Quantifying setpoint drift effects in the failure analysis of process control systems;Aldemir;Reliability Engineering and System Safety,1989

5. Utilization of the cell-to-cell mapping technique to construct Markov failure models for process control systems;Aldemir,1991

Cited by 136 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic probabilistic risk assessment with K-shortest-paths planning for generating discrete dynamic event trees;Reliability Engineering & System Safety;2024-02

2. Dynamic probabilistic risk assessment for electric grid cybersecurity;Reliability Engineering & System Safety;2024-01

3. Dynamic PRA: An overview of methods and applications using RAVEN;Risk-Informed Methods and Applications in Nuclear and Energy Engineering;2024

4. Dynamic probabilistic risk assessment (PRA): Theory, tools, and applications for uncertainty quantification;Risk-Informed Methods and Applications in Nuclear and Energy Engineering;2024

5. Data-driven prognostics and health management (PHM) for predictive maintenance of industrial components and systems;Risk-Informed Methods and Applications in Nuclear and Energy Engineering;2024