Coal–rock interface recognition is one of the key unaddressed problems in unmanned mining, so a novel method for it is proposed. Firstly, electron spin resonance (ESR) is used to directly measure 10 kinds of coals/rocks common in China. Secondly, the free radical characteristics of different particle coals/rocks such as the Lande factor g, line width ΔH, and the concentration of the free radical Ng in the X-band ESR are studied. Lastly, the statistical classifier method of support-vector machine is employed to build a classification model with the input of the parameters of the ESR absorption spectra. Based on the ESR-SVM model, the recognition rate of coals/rocks reaches 100%, the recognition rate of different coals reaches 100%, and the recognition rate of different bituminous coals reaches 88.3%. The experimental results demonstrate that the proposed method is fast, stable, and accurate for the detection of the coal–rock interface and can be a promising tool for the classification of different coals.
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References
J. P. Sun and J. She, J. Chin. Coal Soc., 38, 508–512 (2013).
K. Xie, W. Li, and W. Zhao, Energy, 35, 4349–4355 (2010).
S. J. Mao, J. Chin. Coal Soc., 39, 1572–1583 (2014).
F. Ren, Z. Y. Liu, Z. J. Yang, and G. Q. Liang, J. Taiyuan Univ. Technol., 43, 1133–1141 (2010).
S. L. Bessinger and M. G. Nelson, IEEE Trans. Ind. Appl., 29, 562–565 (1993).
J. Sun, B. Su, Int. J. Min. Sci. Technol., 23, 681–687 (2013).
W. Xin, E. J. Ding, K. X. Hu, D. Zhao, and J. China. U. Min. Technol., 45, 34–41 (2016).
F. Ren, Z. J. Yang, and S. B. Xiong, Chin. J. Mech. Eng., 16, 321–324 (2003).
F. Czechowski and A. Jezierski, Energ. Fuel, 11, 951–964 (1997).
A. B. W. J. Ckowski, W. Wojtowicz, and B. Pilawa, Fuel, 79, 1137–1141 (2000).
Z. H. Li, B. Kong, A. Z. Wei, Y. L. Yang, Y. B. Zhou, and L. Z. Zhang, Environ. Sci. Pollut. R, 23, 1–13 (2016).
S. A. Feng and X. Y. Tang, J. Coal Geol. Chin., 10, 24–26(1998).
P. Z. Zhang and Z. F. Wang, J. Fuel Chem. Technol., 20, 307–312 (1992).
Y. Qin, B. Jiang, C. Wang, and D. Y. Song, J. Chin. Univ. Min. Technol., 26, 10–14 (1997).
N. S. Qiu, H. Li, Z. J. Jin, and Y. K. Zhu, Int. J. Coal Geol., 69, 220–228 (2007).
W. J. He, Z. Y. Liu, Q. Y. Liu, L. Shi, X. G. Shi, J. F. Wu, and X. J. Guo, Fuel Process. Technol., 156, 221–227 (2017).
C. J. White, C. T. Elliott, and J. R. White, AM LAB, 43, 18–23 (2011).
J. X. Liu, X. M. Jiang, J. Shen, and H. Zhang, Adv. Powder Technol., 25, 916–925 (2014).
J. X. Liu, X. M. Jiang, J. Shen, and H. Zhang, Powder Technol., 272, 64–74 (2015).
X. Wang, S. G. Miao, and E. J. Ding, J. China. U. Min. Technol., 45, 739–746 (2016).
V. N. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York (1995).
L. Petrakis and D. W. Grandy, Anal. Chem., 50, 303–308 (1978).
D. J. E. Ingram. Biological and Biochemical Applications of Electron Spin Resonance, Plenum Press, New York (1969).
A. Berlin, M. Geidrikh, B. Davydov, and B. Krentsel, Chemistry of Polyconjugated Systems, Khimiya, Moscow (1972).
M. Ikeya, New Applications of Electron Spin Resonance, World Scientifi c (1993).
Z. H. Li, A. Z. Wei, and Y. L. Yang, J. Chin. Univ. Min. Technol., 35, 576–580 (2006).
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Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 86, No. 2, p. 325, March–April, 2019.
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Miao, S., Liu, X. Free Radical Characteristics and Classification of Coals and Rocks Using Electron Spin Resonance Spectroscopy. J Appl Spectrosc 86, 345–352 (2019). https://doi.org/10.1007/s10812-019-00824-2
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DOI: https://doi.org/10.1007/s10812-019-00824-2