Bayesian belief network modeling of accident occurrence in metal lathe machining operations.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to model the uncertainty surrounding the occurrence of a fly-out accident during metal lathe machining operations and its corresponding consequences. Probabilities were given within the referenced paper. The vertices are:
Chuck association fault (Okay, Faulty);
Workpiece holding failure (N-Fail, FLRE);
Tool-post fault (Okay, Faulty);
Coolant fault (Okay, Faulty);
Operating speed (Proper, Improper);
Safety guards faul (Okay, Faulty);
Wrong feed rate (HR, HE);
(Fatal, Major, Minor).
Akinyemi, O. O., Adeyemi, H. O., Olatunde, O. B., Folorunsho, O., & Musa, M. B. (2022). Bayesian belief network modeling of accident occurrence in metal lathe machining operations. Mindanao Journal of Science and Technology, 20(2).