Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration

DOI

10.2991/icmeim-17.2017.41How to use a DOI?

Keywords

NIRS,Diesel Cetane,LS-SVM,LVs

Abstract

Near infrared spectroscopy (NIRS) was investigated for measurement of diesel cetane. Three types of pretreatments including standard normal variate (SNV), multiplicative scattering correction (MSC) and Savitzky-Golay smoothing combining first derivative were adopted to eliminate the system noises and external disturbances. Then, partial least squares (PLS) and least squares-support vector machine (LS-SVM) methods were implemented for calibration models. Simultaneously, the performance of least squares-support vector machine (LS-SVM) method was compared with three kinds of dimension reduction input, including principal components (PCs), latent variables (LVs), and effective wavelengths (EWs). The best predictions were obtained with LS-SVM-LVs model for diesel cetane number (R2Pre=0.557, RMSEP = 2.169 and residual prediction deviation (RPD) =1.61), which was deemed as good model predictions. It is recommended to adopt LS-SVM-LVs model technique for higher accuracy measurement of the selected diesel cetane number with NIR, in comparison with LS-SVM-PCs and LS-SVM-EWs model techniques.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Bai-shao Zhan
AU  - Jian-guo Yang
PY  - 2017/02
DA  - 2017/02
TI  - Measurement of Diesel Cetane Number Using Near Infrared Spectra and Multivariate Calibration
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 239
EP  - 246
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.41
DO  - 10.2991/icmeim-17.2017.41
ID  - Zhan2017/02
ER  -