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bnRep (version 0.0.3)

dragline: dragline Bayesian Network

Description

Bayesian network approach for dragline reliability analysis: A case study.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

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);

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.