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Risk assessment of TBM jamming based on Bayesian networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to assess the risk of tunnel boring machine jamming. The Bayesian network was learned as in the referenced paper. The vertices are:
(High, Low, Medium, None);
(High, Low, Medium, None);
(High, Low, Medium, None);
(Serious, Slight);
(High, Low, Medium, None);
(High, Low, Medium, None);
(No, Yes);
(Serious, Slight);
(High, Low, Medium, None);
(Serious, Slight);
Lin, P., Xiong, Y., Xu, Z., Wang, W., & Shao, R. (2022). Risk assessment of TBM jamming based on Bayesian networks. Bulletin of Engineering Geology and the Environment, 81, 1-15.