simulation: simulation Bayesian Network
In bnRep: A Repository of Bayesian Networks from the Academic Literature
simulation R Documentation
simulation Bayesian Network
Description
Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment.
Format
A discrete Bayesian network to assist asset managers in evaluating the risk arising from the operations. Probabilities were given within the referenced paper. The vertices are:
- JointFailure
(True, False);
- PressureRegulatorLeakage
(True, False);
- SealFailure
(True, False);
- ValveActivation
(True, False);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Leoni, L., & De Carlo, F. (2023). Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment. Journal of Loss Prevention in the Process Industries, 83, 105081.
bnRep documentation built on April 12, 2025, 1:13 a.m.
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| simulation | R Documentation |
simulation Bayesian Network
Description
Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment.
Format
A discrete Bayesian network to assist asset managers in evaluating the risk arising from the operations. Probabilities were given within the referenced paper. The vertices are:
- JointFailure
(True, False);
- PressureRegulatorLeakage
(True, False);
- SealFailure
(True, False);
- ValveActivation
(True, False);
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Leoni, L., & De Carlo, F. (2023). Integration of fuzzy reliability analysis and consequence simulation to conduct risk assessment. Journal of Loss Prevention in the Process Industries, 83, 105081.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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