Data-driven soft sensor approach for online quality prediction using state dependent parameter models

The goal of this paper is to design and implementation of a new data-driven soft sensor that uses state dependent parameter (SDP) models to improve product quality monitoring. The SDP model parameters assumed to be function of the system states, which are estimated by data-based modeling philosophy...

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Vydané v:	Chemometrics and intelligent laboratory systems Ročník 162; s. 130 - 141
Hlavní autori:	Bidar, Bahareh, Sadeghi, Jafar, Shahraki, Farhad, Khalilipour, Mir Mohammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.03.2017
Predmet:	Data-based modeling Debutanizer column Missing value Quality prediction Soft sensor State dependent parameter Soft sensor Missing value State dependent parameter Quality prediction Data-based modeling Debutanizer column
ISSN:	0169-7439, 1873-3239
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