The Analysis and Detection Research of Different Coal Samples Based on near Infrared Spectroscopy

Peng Qiang Chen; Hui Shan Lu; Hong Wei Yan; Qiang Gao

doi:10.4028/www.scientific.net/AMR.634-638.1651

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The Analysis and Detection Research of Different Coal Samples Based on near Infrared Spectroscopy
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 634-638The Analysis and Detection Research of Different...

The Analysis and Detection Research of Different Coal Samples Based on near Infrared Spectroscopy

Abstract:

The present study is concerning qualitative and quantitative detection of different coal samples based on near infrared spectroscopy. Firstly, near infrared spectroscopy combined with discriminant analysis (DA) was used for the coal cinder characteristics in different spectral pre-processing methods, at the same time it will establish the quantitative of the total moisture. The result indicated that 97.78% recognition ratio for calibration and 93.33% recognition ratio for validation were achieved by DA for the cinder characteristics. The PLS quantitative model of the total moisture of the establishment of the original spectral was the best, the correlation coefficients of calibration and prediction respectively were 0.981 and 0.641, RMSEC, RMSEP and RMSECV respectively were 0.859, 2.51 and 3.44.

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Periodical:

Advanced Materials Research (Volumes 634-638)

Pages:

1651-1654

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.634-638.1651

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Online since:

January 2013

Authors:

Peng Qiang Chen, Hui Shan Lu, Hong Wei Yan, Qiang Gao

Keywords:

Coal Samples, Discriminant Analysis (DA), Near Infrared Spectroscopy (NIRS), Partial Least Square (PLS)

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References

[1] Fengrui Li, Baolan Xiao, Yuguo Tang, Sichuan Xu: Power System Engineering. Vol. 19 (2003), p.19. In Chinese.

Google Scholar

[2] Beilei Wu, Zhenxing Lin, Qunwei Wang: Rock and Mineral Analysis. Vol. 25 (2006), p.133. In Chinese.

Google Scholar

[3] Zhangquan Shen, Wang Ke, Xuewen Huang: Journal of Infrared and Millimeter Waves. Vol. 29 (2010), p.33. In Chinese.

Google Scholar

[4] Yanlu Yan, Longlian Zhao, Donghai Han: Foundation and Application of NIR Spectra Analysis. Beijing: China Light Industry Press. Vol. 13 (2005). In Chinese.

Google Scholar

[5] Mouazen, A. M., R. Karoui, J. De Baerdemaeker, and H. Ramon.: Classification of soils into different moisture content levels based on NIS-NIR spectra. ASABE Paper No. 061067. (2006).

DOI: 10.13031/2013.20592

Google Scholar

[6] Xu Lu, Xueguang Shao: Methods of Chemometrics. Science Press, Beijing. (2004).

Google Scholar

[7] Park, B., J. A. Abbott, K. J. Lee, C. H. Choi, and K. H. Choi.: Near-infrared diffuse reflectance for quantitative and qualitative measurement of soluble solids and firmness of delicious and gala apples. Vol. 46 (2003), p.1721.

DOI: 10.13031/2013.15628

Google Scholar