Naslov
Estimation of lube oil viscosities on a vacuum distillation column

Autori
Petrović, Ivan ; Domijan, Predrag ; Jelavić, Mate

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Conference on Industrial Technology : IEEE ICIT 2003 / - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 2003

ISBN
0-7803-7852-0

Skup
International Conference on Industrial Technology

Mjesto i datum
Maribor, Slovenija, 10.12.2003. - 12.12.2003

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
vacuum distillation column; lube oils; viscosity; estimation; soft-sensors

Sažetak
The key product specifications on a vacuum distillation column side draw products are viscosity, density, flash and color, although viscosity is usually the most limiting quality. There are online viscosity analyzers available on the market, but their prices are quite high and their reliabilities are quit low. Possible solution to this problem is development and application of so-called soft sensors, which estimate lube oil viscosities based on available easy-to-measure variables. In this paper we consider the application of neural networks for viscosities estimation of lube oils on the vacuum unit at INA Rijeka Lube Oil Refinery. The proposed soft sensors are of Nonlinear Finite Impulse Response structure, where their inputs are temperatures and flow-rates of the distillates. Although developed soft sensors do not demonstrate high accuracy they can be used to track trends of the output viscosities, and based on that information plant operators can take proper actions with more certainty. It is to expect some improvements in sensors behavior with arrival of new input/output data.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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