Naslov
Soft Sensor Model Optimization for Continuous Toluene Estimation

Autori
Mohler, Ivan ; Bolf, Nenad ; Ujević Andrijić, Željka

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

Izvornik
Proceeding of the 41st International Conference of Slovak Society of Chemical Engineering / Markoš, Josef - Bratislava : Slovak Society of Chemical Engineering, 2014, 1-10

Skup
International Conference of Slovak Society of Chemical Engineering (41 ; 2014)

Mjesto i datum
Tatranské Matliare, Slovačka, 26.05.2014. - 30.05.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
soft sensor; identification; optimization; simulated annealing

Sažetak
From industrial facilities increasing need for continuous measurements of product properties and optimal process control are expected. This imposes the need for monitoring a large number of process variables using on-line analyzers. As an alternative for on-line analyzers soft sensors for toluene content estimation are developed in order to improve the control of the aromatic complex. Based on real-plant data extensive data analysis and preprocessing is carried out, and several type of the soft sensors are modeled: Finite Impulse Response (FIR), AutoRegressive model with eXogenous inputs (ARX) and Output Error (OE). The model structures (number of regressors) are optimized using global Simulated Annealing (SA) method. The models were evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (eMAE) and FIT criteria. Developed models are tested and validated on the real plant data. Obtained soft sensors serve as product quality continuous estimator as an alternative for on-line analyzers or laboratory assays.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

Napomena
Rad je objavljen i u Knjizi sažetaka ; str. 216-216.

POVEZANOST RADA