metal {bnRep} | R Documentation |
metal Bayesian Network
Description
Bayesian belief network modeling of accident occurrence in metal lathe machining operations.
Format
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:
- CAF
Chuck association fault (Okay, Faulty);
- WHF
Workpiece holding failure (N-Fail, FLRE);
- TPF
Tool-post fault (Okay, Faulty);
- CF
Coolant fault (Okay, Faulty);
- OS
Operating speed (Proper, Improper);
- SGF
Safety guards faul (Okay, Faulty);
- IFR
Wrong feed rate (HR, HE);
- FlyOutAccident
(Fatal, Major, Minor).
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
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).