Naslov
Product Quality Estimation and Control Using Soft Sensors

Autori
Bolf, Nenad ; Jerbić, Ivica ; Ivandić, Marina

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

Izvornik
Proceedings of 43rd International Petroleum Conference / Letková, Zuzana - Bratislava : Slovnaft VURUP, Slovak University of Technology in Bratislava, 2007, 041-1

ISBN
978-80-69736-1-3

Skup
43rd International Petroleum Conference

Mjesto i datum
Bratislava, Slovačka, 24.09.2007. - 26.09.2007

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
soft sensor; identification; neural network; inferential control

Sažetak
Law regulations dictate firm restrictions of product quality specifications and refinery emissions. Measurement of great number of process variables and instaling new expensive process analyzers is necessary for efficient process control. Possible solution of this problem is application of soft-sensors i.e. the process model that is used for variable estimations which are not measured in continuous manner. This paper demonstrates soft-sensor design for product quality monitoring and process control of debutanizer column . Neural network model is developed based on available process measurement with the purpose of product quality monitoring and process control enhancement.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA