Naslov
Soft Sensor for Diesel Fuel Distillation End Point Estimation

Autori
Mohler, Ivan ; Holbling, Nikolina ; Galinec, Goran ; Bolf, Nenad ; Ujević, Željka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
19th International Congress of Chemical and Process Engineering (CHISA 2010) : PRESS 2010 Conference : Summaries 4 / Novosad, Jan - Prag, 2010, 1649-1650

ISBN
978-80-02-02249-7

Skup
International Congress of Chemical and Process Engineering (19 ; 2010)

Mjesto i datum
Prag, Češka Republika, 28.08.2010. - 01.09.2010

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
soft sensors; crude distillation column; neural networks

Sažetak
Virtual soft sensors are developed for properties estimation of diesel fuel as the crude oil distillation side product. Because of the growing standards for the fu¸el quality and needs to produce various gradations of diesel fuel, frequently laboratory testing and quality controls of the products are necessary. On the basis of available continuous temperature measuring of suitable process streams, soft sensors for estimating end boiling point (D95) of diesel fuel have been developed. Linear and nonlinear soft sensor models have been built using linear regression and artificial neural networks. Statistical data analysis has been carried out and the results were critically judged.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

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