dustexplosion {bnRep}R Documentation

dustexplosion Bayesian Network

Description

Scenario derivation and consequence evaluation of dust explosion accident based on dynamic Bayesian network.

Format

A discrete Bayesian network for the accurate solution of scenario state probability. Probabilities were given within the referenced paper. The vertices are:

AccidentDoNotOccur

(True, False);

AccidentUnderControl

(True, False);

BlastWavesThroughPipes

(True, False);

BuildingDamage

(I, II, III, IV);

Casualties

(I, II, III, IV);

CombustibleDustAccumulates

(True, False);

DirectEconomicLosses

(I, II, III, IV);

DustAccumulationUnderControl

(True, False);

DustCloudDisappearance

(True, False);

DustExplosionIntensityCoefficient

(I, II, III, IV, V);

EndOfRescue

(True, False);

EnvironmentalImpact

(I, II, III, IV);

EquipmentDamage

(I, II, III, IV);

ExplosionPreventionMeasures

(True, False);

ExtinctionOfSpark

(True, False);

IgnitingTheDustCloud

(True, False);

InitiateEmergencyResponse

(True, False);

Misoperation

(True, False);

NoExplosionControlMeasures

(True, False);

OpenFireExtinguished

(True, False);

PreventFurtherExpansion

(True, False);

RestrictedSpace

(True, False);

SparkDetectorExtinguishSparks

(True, False);

SparkOccurence

(True, False);

StrengthenDustControl

(True, False);

TriggerSecondaryExplosion

(True, False);

Value

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

References

Pang, L., Zhang, M., Yang, K., & Sun, S. (2023). Scenario derivation and consequence evaluation of dust explosion accident based on dynamic Bayesian network. Journal of Loss Prevention in the Process Industries, 83, 105055.


[Package bnRep version 0.0.1 Index]