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Object Oriented Bayesian Networks for Industrial Process Operation

  • We present an application, where extensions of existing methods for decision-theoretic troubleshooting are used for industrial process operation and asset management. The extension includes expected average cost of asset management actions, prediction of signals' level-trend development, risk assessment for disturbance analysis and predictive maintenance on demand.

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Metadaten
Author:Galia WeidlORCiD, Anders L. Madsen, Erik Dahlquist
URL:https://www.researchgate.net/publication/2942492_Object_Oriented_Bayesian_Networks_for_Industrial_Process_Operation#fullTextFileContent
Parent Title (German):Proceedings of the first Bayesian Application Modeling Workshop at the 19th Conference in Uncertainty in Artificial Intelligence, 2003
Document Type:Conference Proceeding
Language:English
Year of Completion:2003
Release Date:2023/12/07
Tag:Bayesian Networks; OOBN
GND Keyword:Prozesssteuerung
Urheberrecht:1
Institutes:Einrichtungen / Kompetenzzentrum Künstliche Intelligenz
research focus :Intelligent Systems / Artifical Intelligence and Data Science
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
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