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- W2616623039 abstract "In order to deal with the complexity of the diagnosis of FCC pilot plants, several modelling approaches were developed, combined and tested on-line. Two causal modelling approaches were investigated based on control loop analysis and on the detailed equations describing the behaviour of the process. These models are used online to detect fault on process variables. Information on the components of the system allows faults on physical components to be isolated. Then using expert knowledge, information is given to the operator. This paper details the different kinds of models, their use in the diagnosis module and a case study on the IFP FCC pilot plant. This work is conducted as a part of the Chem project1." @default.
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- W2616623039 date "2003-06-01" @default.
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- W2616623039 title "FCC Diagnosis Using Several Causal and Knowledge Based Models" @default.
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- W2616623039 doi "https://doi.org/10.1016/s1474-6670(17)36568-0" @default.
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