Application of Soft Sensor for Monitoring and Control of Refinery Emission (CROSBI ID 563542)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mohler, Ivan ; Golob, Marjan ; Bolf, Nenad ; Galinec, Goran
engleski
Application of Soft Sensor for Monitoring and Control of Refinery Emission
This paper elaborates methods of soft sensor development for dynamic model identification and process control of Sulphur Recovery Unit (SRU) in refinery production. Experimental data are acquired from refinery unit and include available on-line measured variables and on-line analysis. The results are soft sensor models for optimal control of SRU with aim to minimize SO2 and H2S emissions. The soft sensors were developed conducting multiple linear regression analysis and using neural network-based and fuzzy logic models. From a variety of different model structures the best results were achieved with multi-layer perceptrons and neuro-fuzzy soft sensor models.
soft sensor; process modeling and identification; refinery; sulphur recovery unit
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Podaci o prilogu
2009.
objavljeno
Podaci o matičnoj publikaciji
Avtomatizacija v industriji in gospodarstvu 2009
Tovornik, Boris
Maribor: Društvo automatikov Slovenije
Podaci o skupu
Avtomatizacija v industriji in gospodarstvu 2009
predavanje
29.03.2009-03.07.2009
Maribor, Slovenija