The Application of Chemometric Methods in Near Infrared Spectroscopy Analysis

Author

Xixiong, Zhan ; Lin Jim ; Zhihong, Wang ; Zhiyu, Wu

Author_Institution

IEEE Conference Publishing, Jilin

fYear

2007

fDate

23-25 May 2007

Firstpage

1771

Lastpage

1774

Abstract

The near infrared spectroscopy analysis method is applied to measure the octane number of gasohol, which is used widely by automobile in China. Based on principal components regression (PCR), the prediction model is created. In order to save time in creating model and avoid unuseful data being used in model, the correlation coefficient between principal components and samples property is used. In order to improve the predicting precision, the software use one global model and some local models during predicting new sample. The samples in local model are dynamic and selected from the global model according to the set principle of dynamic local model creating method.

Keywords

chemical variables measurement; infrared spectroscopy; principal component analysis; regression analysis; spectrochemical analysis; chemometric methods; correlation coefficient; dynamic local model creating method; gasohol; global model; near infrared spectroscopy analysis method; octane number measurement; principal components regression; Automobiles; Electromagnetic wave absorption; Ethanol; Fuels; Infrared spectra; Instruments; Laboratories; Petroleum; Predictive models; Vehicle dynamics; Near infrared; local models; principal components regression;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0737-8

Electronic_ISBN

978-1-4244-0737-8

Type

conf

DOI

10.1109/ICIEA.2007.4318714

Filename

4318714