A concept paper on dynamic reliability via Monte Carlo simulation
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DOI: 10.1016/S0378-4754(98)00112-8
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Cited by:
- 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).
- Labeau, P.E & Zio, E, 1998. "The cell-to-boundary method in the frame of memorization-based Monte Carlo algorithms. A new computational improvement in dynamic reliability," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 47(2), pages 347-360.
- Di Maio, Francesco & Rai, Ajit & Zio, Enrico, 2016. "A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 9-18.
- Marseguerra M. & Zio E., 1998. "Weight updating in forced Monte Carlo approach to dynamic PSA," Monte Carlo Methods and Applications, De Gruyter, vol. 4(4), pages 359-374, December.
- Mohammad Nadjafi & Mohammad Ali Farsi, 2021. "Reliability analysis of system with timing functional dependency using fuzzy-bathtub failure rates," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 919-930, October.
- Daniele Codetta-Raiteri & Luigi Portinale, 2014. "Approaching dynamic reliability with predictive and diagnostic purposes by exploiting dynamic Bayesian networks," Journal of Risk and Reliability, , vol. 228(5), pages 488-503, October.
- Vasilyev, A. & Andrews, J. & Dunnett, S.J. & Jackson, L.M., 2021. "Dynamic Reliability Assessment of PEM Fuel Cell Systems," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
- Mandelli, D. & Parisi, C. & Alfonsi, A. & Maljovec, D. & Boring, R. & Ewing, S. & St Germain, S. & Smith, C. & Rabiti, C. & Rasmussen, M., 2019. "Multi-unit dynamic PRA," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 303-317.
- Durga Rao, K. & Gopika, V. & Sanyasi Rao, V.V.S. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2009. "Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 872-883.
- Chiacchio, F. & D’Urso, D. & Manno, G. & Compagno, L., 2016. "Stochastic hybrid automaton model of a multi-state system with aging: Reliability assessment and design consequences," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 1-13.
- Zhang, Huilong & Innal, Fares & Dufour, François & Dutuit, Yves, 2014. "Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 126-134.
- Babykina, Génia & Brînzei, Nicolae & Aubry, Jean-François & Deleuze, Gilles, 2016. "Modeling and simulation of a controlled steam generator in the context of dynamic reliability using a Stochastic Hybrid Automaton," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 115-136.
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Keywords
Probalistic Safety Assessment (PSA); Dynamic reliability; Accident duration; Monte Carlo simulation; Transport theory analysis; Memorization-based algorithms; Process variable evolution;All these keywords.
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