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