Online scenario labeling using a hidden Markov model for assessment of nuclear plant state
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DOI: 10.1016/j.ress.2012.09.002
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- Catalyurek, Umit & Rutt, Benjamin & Metzroth, Kyle & Hakobyan, Aram & Aldemir, Tunc & Denning, Richard & Dunagan, Sean & Kunsman, David, 2010. "Development of a code-agnostic computational infrastructure for the dynamic generation of accident progression event trees," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 278-294.
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Cited by:
- Zheng, Xiaoyu & Tamaki, Hitoshi & Sugiyama, Tomoyuki & Maruyama, Yu, 2022. "Dynamic probabilistic risk assessment of nuclear power plants using multi-fidelity simulations," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
- Chen, Gaige & Chen, Jinglong & Zi, Yanyang & Miao, Huihui, 2017. "Hyper-parameter optimization based nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 517-526.
- Zamalieva, Daniya & Yilmaz, Alper & Aldemir, Tunc, 2013. "A probabilistic model for online scenario labeling in dynamic event tree generation," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 18-26.
- Maidana, Renan G. & Parhizkar, Tarannom & Gomola, Alojz & Utne, Ingrid B. & Mosleh, Ali, 2023. "Supervised dynamic probabilistic risk assessment: Review and comparison of methods," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Fort, A. & Mugnaini, M. & Vignoli, V., 2015. "Hidden Markov Models approach used for life parameters estimations," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 85-91.
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Keywords
Transient analysis; Scenario labeling; Dynamic PRA;All these keywords.
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