Applications of Object Oriented Bayesian Networks for Causal Analysis of Process Disturbances

Abstract

We discuss a hybrid approach for causal analysis of disturbances in industrial process operation. It represents a combination of OOBN with first level diagnostic packages and physical models serving as agents in the system design and providing evidence for automated reasoning on abnormality in process operation. The aim is causal analysis of non-measurable… (More)

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@inproceedings{Weidl2003ApplicationsOO, title={Applications of Object Oriented Bayesian Networks for Causal Analysis of Process Disturbances}, author={Galia Weidl and Anders L. Madsen and Erik Dahlquist}, year={2003} }