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Application of PLS and LS-SVM in Difficult-to- Measure Process Variable Estimation (CROSBI ID 565876)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Grbić, Ratko ; Slišković, Dražen ; Nyarko, Emmanuel Karlo Application of PLS and LS-SVM in Difficult-to- Measure Process Variable Estimation // Proceedings of 8th IEEE International Symposium on Intelligent Systems and Informatics (SISY 2010) / Aniko Szakal (ur.). Subotica: Obuda University, 2010. str. 313-318

Podaci o odgovornosti

Grbić, Ratko ; Slišković, Dražen ; Nyarko, Emmanuel Karlo

engleski

Application of PLS and LS-SVM in Difficult-to- Measure Process Variable Estimation

Very often important process variables which are concerned with the final product quality cannot be measured by a sensor or the measurements are too expensive and often not reliable. In order to enable continuous monitoring of process variables and efficient process control, soft-sensors are usually used to estimate these difficult-to- measure process variables. Soft-sensor is based upon mathematical model of the process. Process model building is based on plant data, taken from the process database. In this paper two methods, namely, Partial Least Squares (PLS) and Least Squares Support Vector Machines (LS-SVM), are used for difficult-to-measure process variables estimation. The methods are used for modeling simulated fluid storage process and oil distillation process. Results are compared and discussed. Advantages and disadvantages of each approach are outlined with respect to this specific application area. Additionally, we propose how these methods can be combined to exploit good properties of both methods.

data based modeling; process variable estimation; PLS; LS-SVM

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Podaci o prilogu

313-318.

2010.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of 8th IEEE International Symposium on Intelligent Systems and Informatics (SISY 2010)

Aniko Szakal

Subotica: Obuda University

978-1-4244-7395-3

Podaci o skupu

8th IEEE International Symposium on Intelligent Systems and Informatics (SISY 2010)

predavanje

10.09.2010-11.09.2010

Subotica, Srbija

Povezanost rada

Elektrotehnika, Računarstvo, Temeljne tehničke znanosti