Comparison of two types of event Bayesian networks: a case study

dc.creatorGUSTAVO ARROYO FIGUEROA
dc.creatorLUIS ENRIQUE SUCAR SUCCAR
dc.date2007
dc.date.accessioned2023-07-25T16:22:47Z
dc.date.available2023-07-25T16:22:47Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/989
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806188
dc.descriptionTemporal Nodes Bayesian Networks (TNBNs) and Networks of Probabilistic Events in Discrete Time (NPEDTs) are two different types of Event Bayesian Networks (EBNs). Both are based on the representation of uncertain events, alternatively to Dynamic Bayesian Networks, which deal with real-world dynamic properties. In a previous work, Arroyo-Figueroa and Sucar applied TNBNs to the diagnosis and prediction of the temporal faults that may occur in the steam generator of a fossil power plant. We present an NPEDT for the same domain, along with a comparative evaluation of the two networks. We examine different methods suggested in the literature for the evaluation of Bayesian networks, analyze their limitations when applied to this temporal domain, and suggest a new evaluation method appropriate for EBNs. In general, the results show that, in this domain, NPEDTs perform better than TNBNs, possibly due to be the finer time granularity used in the NPEDT.
dc.formatapplication/pdf
dc.languageeng
dc.publisherApplied Artificial Intelligence
dc.relationcitation:Galán, S.F., et al., (2007). Comparison of two types of event Bayesian networks: a case study, Applied Artificial Intelligence, 21(3):185-209
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Bayesian networks/Bayesian networks
dc.subjectinfo:eu-repo/classification/Temporal reasoning/Temporal reasoning
dc.subjectinfo:eu-repo/classification/Fault diagnosis and prediction/Fault diagnosis and prediction
dc.subjectinfo:eu-repo/classification/Evaluation/Evaluation
dc.subjectinfo:eu-repo/classification/Case study/Case study
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleComparison of two types of event Bayesian networks: a case study
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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