Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions
- We discuss the use of a hybrid system utilizing Object Oriented Bayesian networks and influence diagrams for probabilistic reasoning under uncertainties in industrial process operations. The Bayesian networks are used for condition monitoring and root cause analysis of process operation. The recommended decision sequence of corrective actions and observations is obtained following the "myopic" approach. The BN inference on most probable root cause is used in an influence diagram for taking decisions on urgency of corrective actions vs. delivery deadline. The build-in chain of causality from root cause to process faults can provide the user with explanation facility and a simulation tool of the effect of intended actions.
Author: | Galia WeidlORCiD, Anders L. Madsen, Erik Dahlquist |
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URL: | https://www.researchgate.net/publication/228719447_Condition_Monitoring_Root_Cause_Analysis_and_Decision_Support_on_Urgency_of_Actions#fullTextFileContent |
Parent Title (English): | Book Series FAIA (Frontiers in Artificial Intelligence and Applications), Soft Computing Systems - Design, Management and Applications |
Document Type: | Article |
Language: | English |
Year of Completion: | 2002 |
Release Date: | 2023/12/11 |
Tag: | Bayesian Networks; OOBN |
GND Keyword: | Prozesssteuerung; Prozessanalyse |
Volume: | 2002 |
Issue: | 87 |
First Page: | 221 |
Last Page: | 230 |
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 |