TY - JOUR A1 - Weidl, Galia A1 - Madsen, Anders L. A1 - Israelson, S. T1 - Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes JF - Computers & Chemical Engineering N2 - The increasing complexity of large-scale industrial processes and the struggle for cost reduction and higher profitability means automated systems for processes diagnosis in plant operation and maintenance are required. We have developed a methodology to address this issue and have designed a prototype system on which this methodology has been applied. The methodology integrates decision-theoretic troubleshooting with risk assessment for industrial process control. It is applied to a pulp digesting and screening process. The process is modeled using generic object-oriented Bayesian networks (OOBNs). The system performs reasoning under uncertainty and presents to users corrective actions, with explanations of the root causes. The system records users’ actions with associated cases and the BN models are prepared to perform sequential learning to increase its performance in diagnostics and advice. KW - Bayes Networks KW - Prozessüberwachung KW - Fehlererkennung KW - Prozesssteuerung Y1 - 2005 UR - https://www.sciencedirect.com/science/article/abs/pii/S009813540500133X?via%3Dihub U6 - https://doi.org/10.1016/j.compchemeng.2005.05.005 VL - 2005 IS - 29/9 SP - 1996 EP - 2009 ER -