TY - CONF A1 - Weidl, Galia A1 - Madsen, Anders L. A1 - Dahlquist, Erik T1 - Applications of object-oriented Bayesian networks for causal analysis of process disturbances T2 - SIMS'2003 (44th International Conference of the Scandinavian Simulation Society) N2 - 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 disturbances as a decision advice complement to the distributed control system (DCS). The approach includes prediction of signals' level-trend development, risk assessment for disturbance analysis and predictive maintenance on demand. The methodology has been applied on a screening process with a pressure-flow network in a Pulp Mil. KW - OOBN KW - DCS KW - Bayesian Networks KW - Prozessmodell KW - Prozesssteuerung Y1 - 2003 UR - https://opus4.kobv.de/opus4-h-ab/frontdoor/index/index/docId/2185 UR - https://www.researchgate.net/publication/228679172_Applications_of_object-oriented_Bayesian_networks_for_causal_analysis_of_process_disturbances#fullTextFileContent ER -