Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks-Reference-Cited by-同舟云学术

Algorithms for Bayesian Network Modeling, Inference, and Reliability Assessment for Multistate Flow Networks

Published:2017-09 Issue:5 Volume:31 Page:04017051
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Tong Yanjie¹^ORCID,Tien Iris²

Affiliation:

1. Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 631 Cherry St., Atlanta, GA 30332-0355 (corresponding author). ORCID: E-mail:

2. Assistant Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 631 Cherry St., Atlanta, GA 30332-0355.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000699

Reference29 articles.

1. Cutset enumerating and network reliability computing by a new recursive algorithm and inclusion exclusion principle;Benaddy M.;Int. J. Computer Appl.,2012

2. Efficient Bayesian network modeling of systems

3. Improving the analysis of dependable systems by mapping fault trees into Bayesian networks

4. A discrete-time Bayesian network reliability modeling and analysis framework

5. A Bayesian belief network based method for performance evaluation and troubleshooting of multistate systems;Bouissou M.;Int. J. Reliab. Qual. Saf. Eng.,2003

Cited by 40 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. Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure;Reliability Engineering & System Safety;2024-01

2. Balancing Tradeoffs in Climate-Smart Agriculture: Will Selling Carbon Credits Offset Potential Losses in the Net Yield Income of Small-Scale Soybean (Glycine max L.) Producers in the Mid-Southern United States?;Decision Analysis;2023-12

3. Forecasting by Using the Bayesian Belief Network of the Activation and Probable Consequences of Hazardous Natural Processes;2023 Applied Mathematics, Computational Science and Mechanics: Current Problems (AMCSM);2023-07-01

4. Theoretical Systems Modeling Framework for Sustainability Using Bayesian and Dynamic Bayesian Networks;Reference Module in Earth Systems and Environmental Sciences;2023

5. Merits of Bayesian networks in overcoming small data challenges: a meta-model for handling missing data;International Journal of Machine Learning and Cybernetics;2022-06-27