DocumentCode :
723970
Title :
Online monitoring of glutamic solution concentration based on PLS regression
Author :
Li Qi ; Liu Wenya ; Ba Wei ; Liu Tao
Author_Institution :
Fac. of Electron. Inf. & Electr. Eng., Dalian Univ. of Technol., Dalian, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
754
Lastpage :
759
Abstract :
Online monitoring of glutamic solution concentration is very important to control the crystallization process. Using infrared spectrometer ReactIR 15, we can obtain the real-time spectral data. Based on the partial least squares regression method, we can establish the regression model between glutamic solution concentration and the real-time spectral data. Repeated calibration experiments based on this model show that the average error is 0.53, and the average relative error is 1.88%. The model has good prediction ability, and it realized online monitoring of glutamic solution concentration in crystallization process. This paper proposed a good reference frame for the online analysis of solution concentration in crystallization process.
Keywords :
calibration; chemical industry; crystallisation; infrared spectrometers; least squares approximations; real-time systems; regression analysis; PLS regression; ReactIR 15; calibration; crystallization process; glutamic solution concentration; infrared spectrometer; online monitoring; partial least squares regression method; real-time spectral data; Crystallization; Data models; Mathematical model; Predictive models; Real-time systems; Temperature control; Crystallization Process; Glutamic Solution Concentration; Partial Least Squares;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162020
Filename :
7162020
Link To Document :
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