metal: metal Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

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).

bnRep documentation built on April 12, 2025, 1:13 a.m.