| 光谱学与光谱分析 |
|
|
|
|
|
| Research on Wavelength Variates Selection Methods for Determination of Oil Yield in Oil Shales using Near-Infrared Spectroscopy |
| ZHAO Zhen-ying, LIN Jun*, ZHANG Fu-dong, LI Jun |
| College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China |
|
|
|
|
Abstract The wavelength selection is an important step in the spectra modeling analysis. In the present paper, three wavelength selection methods, including correlation coefficient (CC), moving window partial least squares (MWPLS) and uninformative variables elimination (UVE), were studied for the determination of oil yield in oil shale using near-infrared (NIR) diffuse reflection spectroscopy. The above methods were used to eliminate the redundant and irrelevant variables in spectral data for enhancing the analytic efficiency and predictive ability of calibration model. The effects of thresholds of CC, window width of MWPLS and noise matrix of UVE were studied. Partial least squares regression was used to build prediction model for predicting oil yield in oil shale, and the performance of PLS models constructed with and without the using of wavelength selection methods were compared. The results show that any of the three methods can simplify the calibration model and improve the performance of model. By using UVE, the total number of wavelength variables of spectral data, the RMSECV of calibration model and the RMSEP of prediction model were decreased by 22.8%, 9.3% and 4.5%, respectively.
|
|
Received: 2013-11-21
Accepted: 2014-03-10
|
|
|
|
Corresponding Authors:
LIN Jun
E-mail: lin_jun@jlu.edu.cn
|
|
[1] Zou Caineng, Yang Zhi, Cui Jingwei, et al. Petroleum Exploration and Development, 2013, 40(1): 15.
[2] Bai Yunlai, Tang Hua, Yan Kai. Oil Shale, 2011, 28(3): 387.
[3] WANG Zhi-hong, LIU Jie, CHEN Xiao-chao, et al(王智宏，刘 杰，陈晓超，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2012, 32(10): 2770.
[4] LU Wan-zhen(陆婉珍). The Modern Analysis Technique of Near-Infrared Spectrum(现代近红外光谱分析技术). 2rd Ed(第2版). Beijing: China Petrochemical Press (北京：中国石化出版社)，2006.
[5] CHU Xiao-li(褚小立). Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications(化学计量学方法与分子光谱分析技术). Beijing: Chemical Industry Press(北京：化学工业出版社)，2011.
[6] Roman M Balabin, Sergey V Smirnov. Analytica Chimica Acta，2011, 692(1-2): 63.
[7] Wu Di, Chen Xiaojing, Zhu Xiangguo. Analytical Methods，2011, 3(8): 1790.
[8] Zhang Chu, Xu Ning, Luo Liubin, et al. Food Bioprocess Technol.，2014，7(2): 599.
[9] Yun Yonghuan, Liang Yizeng, Xie Guixiang, et al. Analyst, 2013, 138: 6421.
[10] Tan Chao, Wu Tong, Xu Zehong. Vibrational Spectroscopy，2012, 58: 44.
[11] Centner V, Massart D L, de Noord O E, et al. Anal. Chem., 1996, 68(21): 3851. |
| [1] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
| [2] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
| [3] |
YAO Kun-shan1, SUN Jun1*, CHEN Chen2, XU Min1, CHENG Jie-hong1, ZHOU Xin1. Non-Destructive Identification for Panax Notoginseng Powder of Different Parts Based on Hyperspectral Imaging Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2027-2031. |
| [4] |
LI Chen-xi1, SUN Ze-yu1, 2, ZHAO Yu2*, YIN Li-hui2, CHEN Wen-liang1, 3, LIU Rong1, 3, XU Ke-xin1, 3. The Research Progress of Two-Dimensional Correlation Spectroscopy and Its Application in Protein Substances Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 1993-2001. |
| [5] |
LI Quan-lun1, CHEN Zheng-guang1*, JIAO Feng2. Prediction of Oil Content in Oil Shale by Near-Infrared Spectroscopy Based on Stacking Ensemble Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1030-1036. |
| [6] |
WANG Hai-ping1, 2, ZHANG Peng-fei1, XU Zhuo-pin1, CHENG Wei-min1, 3, LI Xiao-hong1, 3, ZHAN Yue1, WU Yue-jin1, WANG Qi1*. Quantitative Determination of Na and Fe in Sorghum by LIBS Combined With VDPSO-CMW Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 823-829. |
| [7] |
HAN Jia-qing1, ZHOU Gui-xia1*, HU Jun1*, CHENG Jie-hong2, CHEN Zheng-guang2, ZHAO Sheng-xue1, LIU Yi-ling1. Near-Infrared Spectroscopy Detection of Pollution Concentration of Agricultural Machinery Lubricating Oil Based on Improved Random
Frog Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3482-3488. |
| [8] |
ZHANG Yong-bin1, ZHU Dan-dan1, CHEN Ying1*, LIU Zhe1, DUAN Wei-liang1, LI Shao-hua2. Wavelength Selection Method of Algal Fluorescence Spectrum Based on Convex Point Extraction From Feature Region[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3031-3038. |
| [9] |
LI Quan-lun1, CHEN Zheng-guang1*, SUN Xian-da2. Rapid Detection of Total Organic Carbon in Oil Shale Based on Near
Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1691-1697. |
| [10] |
CHENG Jie-hong1, CHEN Zheng-guang1, 2*, YI Shu-juan2. Wavelength Selection Algorithm Based on Minimum Correlation Coefficient for Multivariate Calibration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 719-725. |
| [11] |
XIE Lin-jiang, HONG Ming-jian*, YU Zhi-rong. A Wavelength Selection Method Combining Direct Orthogonal Signal Correction and Monte Carlo[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 440-445. |
| [12] |
GAO Mei-feng, TAO Huan-ming. Near Infrared Spectral Wavelength Selection Based on Improved Team Progress Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3032-3038. |
| [13] |
SHEN Dong-xu, HONG Ming-jian*, DONG Jia-lin. Raman Spectrum Wavelength Selection Method Based on Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3457-3462. |
| [14] |
CHENG Jie-hong1, CHEN Zheng-guang1,2*. Wavelength Selection of Near-Infrared Spectra Based on Improved SiPLS-Random Frog Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(11): 3451-3456. |
| [15] |
SUN Yan-hua1, 2, FAN Yong-tao1, 2*. Correction of Temperature Influence in Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1690-1695. |
|
|
|
|
