SOFTWARE SENSORS IN IMPROVING PRODUCT QUALITY AND HDS PROCESS CONTROLReport as inadecuate




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Fuels and lubricants : journal for tribology, lubrication, application of liquid and gaseous fuels and combustion engineering, Vol.45 No.6 December 2006. -

Abstract

Today, we are witnessing the necessity to produce high quality fuels in our refineries. To meet the market needs, refining processes must be equipped with a satisfactory number of process analyzers, which is not always easy, because of their price. In the past ten years, there has been a significant number of software sensors present in the process industry. Their application is based on process model built from process data in order to continuously, on-line, predict physical and chemical properties or product content and improve process monitoring and control.

In this paper, practical application of software sensor based on neural networks was explored on the actual case of sulfur content in the hydrodesulphurization unit product, LGO. The research results shall be applied in practice.

HDS catalytic desulfurization; automated, computer controlled process; chemical composition control system; neural network; selflearning control system; selforganizing control system



Author: Ivana Lukec - Darko Lukec - Darko Klarić -

Source: http://hrcak.srce.hr/



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