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This paper discusses the method of modeling for hydraulic retarder internal pressure and determines a method based on artificial neural network (ANN). For modeling based on ANN, the detailed settings and key points are expatiated. Through data extrapolating and comparison with test data, the rationality of ANN internal pressure model is proved.
This paper presents a model of dynamic response of essential oil extraction process using system identification approach. A collection of samples was collected from a pilot plant of essential oil extraction process using steam distillation technique. Input signal for the process is pseudo-random binary sequence (PRBS) and the output is temperature. The sample was separated into training and testing...
A simplified six-lump-model for one practical residue hydrocracking reactor has been developed according to the characteristics of hydrocracking reaction. The model, including six lumps (crude oil, diesel oil, aviation kerosene, heavy naphtha, light naphtha and gas), took both mass balance and kinetics equations into consideration. Only fifteen kinetic parameters of the model need to be estimated,...
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