diagnosis: diagnosis Bayesian Network
In bnRep: A Repository of Bayesian Networks from the Academic Literature
diagnosis R Documentation
diagnosis Bayesian Network
Description
An interpretable unsupervised Bayesian network model for fault detection and diagnosis.
Format
A discrete Bayesian network to support the process monitoring scheme. Probabilities were given within the referenced paper, although the variances were not clearly specified. The vertices are X1, X2, ..., X16.
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Yang, W. T., Reis, M. S., Borodin, V., Juge, M., & Roussy, A. (2022). An interpretable unsupervised Bayesian network model for fault detection and diagnosis. Control Engineering Practice, 127, 105304.
bnRep documentation built on April 12, 2025, 1:13 a.m.
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| diagnosis | R Documentation |
diagnosis Bayesian Network
Description
An interpretable unsupervised Bayesian network model for fault detection and diagnosis.
Format
A discrete Bayesian network to support the process monitoring scheme. Probabilities were given within the referenced paper, although the variances were not clearly specified. The vertices are X1, X2, ..., X16.
Value
An object of class bn.fit. Refer to the documentation of bnlearn for details.
References
Yang, W. T., Reis, M. S., Borodin, V., Juge, M., & Roussy, A. (2022). An interpretable unsupervised Bayesian network model for fault detection and diagnosis. Control Engineering Practice, 127, 105304.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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