Pre-Processing Influence on Near-Infrared Spectra for Determination of Volatile in Lignite Coal Samples

Abstract:

We studied volatile determination in lignite coal samples using near-infrared (NIR) spectra. Firstly, spectra were pre-processed to eliminate useless information. Then, determination model was constructed by partial least squares regression. To study the influence of pre-processing on determination of volatile for NIR analysis of lignite coal samples, we applied four techniques to pre-process spectra, including normalization, standardization, centralization, derivative and discrete wavelet transform. Comparison of the mean absolute percentage error (MAPE) and root mean square error of prediction (RMSEP) of the models show that the models constructed with spectra pre-processed by discrete wavelet transform gave the best results. Through parameters optimization, the results show that discrete wavelet transform and partial least squares regression can obtain satisfactory performance for moisture and volatile determination in coal samples.

• Periodical: Advanced Materials Research (Volume 898)
• Pages: 831-834
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.898.831
• Online since: February 2014
• Authors: Xiao Li Yang*, Fan Wang
• Keywords: Lignite Coal, Near-Infrared Spectra, Pre-Processing, Volatile

References

[1] M. Ferrari, L. Mottola, V Quaresima: Canadian J. Applied Physiology Vol. 29 (2004), p.463.

[2] J. Trygg and S. Wold: J. Chemom. Vol. 16 (2002), p.119.

[3] M.T. Bona and J.M. Andrés: Talanta Vol. 72 (2007), p.1423.

[4] S. Wang, X. Feng, J. Zhou and X. Wang: Advanced Materials Research Vol. 236-238 (2011), p.799.

[5] Y. Wang, G. Shi, X. Zhong and D. Wang: Applied Mechanics and Materials Vol. 80-81 (2011), pp.279-283.

[6] D.W. Kim, J.M. Lee and J.S. Kim: Korean J. Chem. Eng. Vol. 26 (2009), p.489.

[7] Y. Wang, D. Wang, H. Xin, X. Zhong and G. Shi: R. Chen (Ed. ) ICICIS 2011, Part Ⅰ CCIS Vol. 134 (2011), p.348.

[8] X.S. Liu, H.B. Qu and Y.Y. Cheng: Chem. Res. Chinese U. Vol. 21 (2005), p.36.

[9] K.W. Mok Daniel and F.T. Chau: Chemom. Intel. Lab Systems. Vol. 82 (2006), p.210.

[10] I. Ben-Gera and K.H. Norris: J. Food Sci. Vol. 33 (1968), p.64.

[11] Chinese National Standards: GB212-(2008).

[12] D. M. Haaland, E. V. Thomas. Anal. Chem. 60 (1988) 1193-1202.

[13] R. W. Kennard, L. A. Stone. Technometrics 11 (1969) 137-148.

[14] O. Y. Rodionova, A. L. Pomerantsev. J. Chemometrics 22 (2008) 674-685.