polymorphic: polymorphic Bayesian Network

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

polymorphic Bayesian Network

Description

Reliability analysis of high-voltage drive motor systems in terms of the polymorphic Bayesian network.

Format

A discrete Bayesian network to depict the high-voltage drive motor system’s miscellaneous fault states. Probabilities were given within the referenced paper. The vertices are:

PresenceAbrasiveParticles

(Normal, Degradation, Failed);

ExcessiveSpeed

(Normal, Degradation, Failed);

PoorLubrification

(Normal, Degradation, Failed);

InappropriateClearance

(Normal, Degradation, Failed);

HighTemperatureGluing

(Normal, Degradation, Failed);

ScratchVibration

(Normal, Degradation, Failed);

Indentation

(Normal, Degradation, Failed);

ImproperLubrification

(Normal, Degradation, Failed);

ImproperAssembly

(Normal, Degradation, Failed);

Moisture

(Normal, Degradation, Failed);

ExcessiveInterShaftCurrent

(Normal, Degradation, Failed);

ChemicalCorrosion

(Normal, Degradation, Failed);

HighFrequencyPulseVoltage

(Normal, Degradation, Failed);

LocalizedHighTemperatures

(Normal, Degradation, Failed);

PoorCooling

(Normal, Degradation, Failed);

SeverePartialDischarges

(Normal, Degradation, Failed);

SurfaceCorrosion

(Normal, Degradation, Failed);

PlasticDeformation

(Normal, Degradation, Failed);

CorrosionFailure

(Normal, Degradation, Failed);

InsulationDeterioration

(Normal, Degradation, Failed);

WearFault

(Normal, Degradation, Failed);

SystemDegradation

(Normal, Degradation, Failed);

Value

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

References

Zheng, W., Jiang, H., Li, S., & Ma, Q. (2023). Reliability Analysis of High-Voltage Drive Motor Systems in Terms of the Polymorphic Bayesian Network. Mathematics, 11(10), 2378.

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