propellant | R Documentation |
A Bayesian network-based safety assessment method for solid propellant granule-casting molding process.
A discrete Bayesian network to assess the safety of the solid propellant granule-casting molding process. Probabilities were given within the referenced paper. The vertices are:
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(True, False);
(True, False);
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(True, False);
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(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
(True, False);
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An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
Bi, Y., Wang, S., Zhang, C., Cong, H., Gao, W., Qu, B., & Li, J. (2023). A bayesian network-based safety assessment method for solid propellant granule-casting molding process. Journal of Loss Prevention in the Process Industries, 83, 105089.
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