dragline {bnRep} | R Documentation |
dragline Bayesian Network
Description
Bayesian network approach for dragline reliability analysis: A case study.
Format
A discrete Bayesian network for the evaluation of the reliability of a draglines system. Probabilities were given within the referenced paper. The vertices are:
- X1
Teeth Failure (True, False);
- X2
Adapter failure (True, False);
- X3
Equalizer pins (True, False);
- X4
Anchor pins (True, False);
- X5
Hitch shackle pins (True, False);
- X6
Drag motor failure (True, False);
- X7
Drag motor failure2 (True, False);
- X8
Control system failure (True, False);
- X9
Drag rope failure (True, False);
- X10
Gearbox failure (True, False);
- X11
Drag drum failure (True, False);
- X12
Drag chain failure (True, False);
- X13
Drag brake failure (True, False);
- X14
Drag socket failure (True, False);
- X15
Drag pulley failure (True, False);
- X16
Dump rope failure (True, False);
- X17
Dump socket failure (True, False);
- X18
Dump pulley failure (True, False);
- X19
Hoist motor 1 failure (True, False);
- X20
Hoist motor 2 failure (True, False);
- X21
Hoist rope failure (True, False);
- X22
Control system failure (True, False);
- X23
Hoist chain failure (True, False);
- X24
Hoist brake failure (True, False);
- X25
Rotate frame failure (True, False);
- X26
Roller failure (True, False);
- X27
Gearbox failure (True, False);
- X28
Control system failure (True, False);
- X29
Swing motor failure (True, False);
- X30
Swing motor failure (True, False);
- X31
Exciter failure (True, False);
- X32
M.G. set failure (True, False);
- X33
Synchronous motor failure (True, False);
- X34
DC problem failure (True, False);
- X35
Power failure (True, False);
- X36
Trailing cable failure (True, False);
- X37
Compressor failure (True, False);
- X38
Lubrication system failure (True, False);
- X39
Guide pulley failure (True, False);
- X40
Boom light failure (True, False);
- A1
(True, False);
- A2
(True, False);
- A3
(True, False);
- S1
Bucket and accessories (True, False);
- S2
Drag mechanism (True, False);
- S3
Rigging mechanism (True, False);
- S4
Hoisting mechanism (True, False);
- S5
Swing mechanism (True, False);
- S6
Electrical auxiliary (True, False);
- S7
Other subsystem (True, False);
- Dragline
(True, False);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Kumar, D., Jana, D., Gupta, S., & Yadav, P. K. (2023). Bayesian network approach for dragline reliability analysis: A case study. Mining, Metallurgy & Exploration, 40(1), 347-365.