DWT-SVM on Near-Infrared Spectra for Moisture and Volatile Determination of Coal

Abstract:

We studied moisture and volatile determination in bituminous coal samples using near-infrared (NIR) spectra. This research applied support vector machine (SVM) and discrete wavelet transform (DWT). Firstly, NIR spectra were pre-processed by DWT for fitting and compression. Then, DWT coefficients were used to build regression model with SVM. We used NIR spectra to determination moisture and volatile determination in coal samples separately. Through parameters optimization, the results show that DWT-SVM can obtain satisfactory performance for moisture and volatile determination in coal samples.

• Periodical: Applied Mechanics and Materials (Volume 483)
• Pages: 71-74
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.483.71
• Online since: December 2013
• Authors: Xiao Li Yang*, Fan Wang, Ji Shu Chen, Shui Hua Zhang
• Keywords: CoAl, Discrete Wavelet Transform, Moisture, Support Vector Machine (SVM), 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] X. Shao and W. Cai: Rev. Anal. Chem. Vol. 17 (1998), p.235.

[12] X. Shao, A.K.M. Leung and F.T. Chau: Acc. Chem. Res. Vol. 36 (2003), p.276.

[13] V. Vapnik: The Natures of Statistical Learning Theory (Springer-Verlag, USA 1995).

[14] T. van Gestel, J. Suykens, B. Baesens, S. Viaene, J. Vanthienen, G. Dedene, B. de Moor and J. Vandewalle: Machine Learn Vol. 54(2004), p.5.

DOI: 10.1023/b:mach.0000008082.80494.e0

[15] N. Pochet, F. De Smet, J. Suykens and B. De Moor: Bioinformatics Vol. 20(2004), p.3185.

[16] B. Schölkopf, C. Burges and A. Smola: Support Vector Learning 1999, p.25.

[17] J. A. K. Suykens and J. Vandewalle: Neur. Proc. Let. Vol. 9 (1999), p.293.

[18] H. Chang, A. Li, H. Wang and H. Tan: Coal Quality Techno. 2004, p.50.

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

[20] R.W. Kennard and L.A. Stone: Technometrics Vol. 11 (1969), p.137.

[21] O.Y. Rodionova and A.L. Pomerantsev: J. Chemom. Vol. 22 (2008), p.674.