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A machine learning methodology for probabilistic risk assessment of process operations: A case of subsea gas pipeline leak accidents

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References

2011Handling and updating uncertain information in bow-tie analysis128 cited
2016Dynamic hazard identification and scenario mapping using Bayesian network118 cited
2017Dynamic failure analysis of process systems using neural networks98 cited
2018Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform93 cited
2019Copula-based Bayesian network model for process system risk assessment89 cited
2018Developing a dynamic model for risk analysis under uncertainty: Case of third-party damage on subsea pipelines88 cited
2021Process system failure evaluation method based on a Noisy-OR gate intuitionistic fuzzy Bayesian network in an uncertain environment81 cited
2019Risk assessment of process systems by mapping fault tree into artificial neural network79 cited

Cited by

2023Dynamic risk analysis of oil depot storage tank failure using a fuzzy Bayesian network model44 cited
2023An integrated EDIB model for probabilistic risk analysis of natural gas pipeline leakage accidents37 cited
2022Safety and reliability analysis of the solid propellant casting molding process based on FFTA and PSO-BPNN32 cited
2023Risk analysis in energy projects using Bayesian networks: A systematic review26 cited
2024Real-time quantitative risk analysis and routing optimization of gaseous hydrogen tube trailer transport: A Bayesian network and Dijkstra algorithm combining approach

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22 cited

2025Machine learning and bayesian network based on fuzzy AHP framework for risk assessment in process units11 cited

2024A novel dynamic risk assessment method for hazardous chemical warehouses based on improved SVM and mathematical methodologies10 cited