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23rd European Symposium on Computer Aided Process Engineering by Ilkka Turunen, Andrzej Kraslawski

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Process Fault Diagnosis Based on Bayesian Inference

Jialin Liua, Shu Jie Liub and David Shan Hill Wongc,    aCenter for Energy and Environmental Research, National Tsing Hua University, Hsinchu, Taiwan, bDepartment of Control Science and Engineering, Huazhong University Science and Technology, Wuhan, China, cDepartment of ChemicalEngineering, National Tsing Hua University, Hsinchu, Taiwan

Abstract

Isolating faulty variables is a crucial step during the determination of the root causes of a process fault. Contribution plots, with their corresponding control limits, are the most popular tools used for isolating faulty variables. However, the isolation results may be misled by the smearing effect. In addition, the control limits of the contributions ...

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