Soft sensors for Crude Distillation Unit Product Properties Estimation and Control (CROSBI ID 540615)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bolf, Nenad ; Ivandić, Marina ; Galinec, Goran
engleski
Soft sensors for Crude Distillation Unit Product Properties Estimation and Control
Neural network-based soft sensors are developed for quality estimation of kerosene, a refinery crude distillation unit side product. Based on temperature and flow measurements two soft sensors serve as the estimators for the kerosene distillation end point (95 %) and freezing point. The neural networks are trained by the adaptive gradient method using cascade learning. Research results show possibilities of applying soft sensors for refinery product quality estimation and inferential control as an alternative for process analyzers and laboratory assays.
soft sensor; neural network; crude distillation unit; kerosene
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Podaci o prilogu
1804-1809.
2008.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 16th Mediterranean Conference on Control and Automation
Petton, R. J., Maquin, Didier
Ajaccio: Institute of Electrical and Electronics Engineers (IEEE)
978-1-4244-2505-1
Podaci o skupu
16th Mediterranean Conference on Control and Automation
predavanje
25.06.2008-27.06.2008
Ajaccio, Francuska