Ash content estimation of lignite with visible light and near-infrared sensors

References

• Arnold, J. B., M. S. Klima, and P. J. Bethell. 2007. Designing the coal preparation plant of the future, 255. 1st ed. Colorado: SME.
   Google Scholar
• Chang, C. W., D. A. Laird, M. J. Mausbach, and C. R. Hurburgh Jr. 2001. Near-infrared reflectance spectroscopy–principal components regression analyses of soil properties. Agricultural and Biosystems Engineering Publications, Vol. 3. Ames, USA: Iowa State University.
   Google Scholar
• Chemical Inspection and Regulation Service, http://www.cirs-reach.com/China_Chemical_Regulation/Regulations_on_Safe_Management_of_Hazardous_Chemicals_in_China.html last visit 2018.
   Google Scholar
• Clark, R. 1999. Manual of remote sensing (volume 3), remote sensing for the earth sciences chapter 1: Spectroscopy of rocks and minerals, and principles of spectroscopy. Editor. A. N. Rencz, New York: John Wiley and Sons.
   Google Scholar
• Creaser, C. S., and A. M. C. Davies. 1988. Section 6: Chemometrics and data analysis, analytical applications of spectroscopy. Royal Society of Chemistry, London 403–80.
   Google Scholar
• Dalal, R. C., and R. J. Henry. 1986. Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry. Soil Science Society of America Journal 50–51. doi:10.2136/sssaj1986.03615995005000010023x.
   Web of Science ®Google Scholar
• EA (International Energy Agency), Key World Energy Statistics, Paris. 2018. http://www.iea.org/newsroom/news/2016/november/world-energy-outlook-2016.html, last visit.
   Google Scholar
• European Commission-Environment, Hazardous waste regulations. 2018. http://ec.europa.eu/environment/waste/hazardous_index.htm. last visit.
   Google Scholar
• Gaft, M., E. Dvir, H. Modiano, and U. Schone. 2008. Laser induced breakdown spectroscopy machine for online ash analyses in coal. Spectrochimica Acta Part B: Atomic Spectroscopy 63(10):1177–82. ISSN 0584-8547. doi:10.1016/j.sab.2008.06.007.
   Web of Science ®Google Scholar
• Holst, H. 1992. Comparison of different calibration methods suited for calibration problems with many variables. Applied Spectroscopy 46:1780–84. doi:10.1366/0003702924123601.
   Web of Science ®Google Scholar
• Indimath, S., R. Shunmugasundaram, S. Balamurugan, B. Das, R. Singh, and M. Dutta. 2018. Ultrasonic technique for online measurement of bulk density of stamp charge coal cakes in coke plants. Fuel Processing Technology 172:155–61. doi:10.1016/j.fuproc.2017.12.017.
   Web of Science ®Google Scholar
• King, T. V. V., and W. I. Ridley. 1987. Relation of the spectroscopic reflectance of olivine to mineral chemistry and some remote sensing implications. Journal of Geophysical Research 92:11457–69. doi:10.1029/JB092iB11p11457.
   Web of Science ®Google Scholar
• Klein, A., G. Ma, and F. Rulang. 2010 Online X-ray elemental analysis of coal with a particle size up to 50 mm. 16th ICPC Conference Proceedings, Lexington, KY, USA. P734–743.
   Google Scholar
• Kleine, C. 2010. Report: Dry destoning of ROM coal using XRT-sorting, arnot mine and power station, South Africa. Germany: RWTH Aachen University.
   Google Scholar
• Mevik, B. H., and R. Wehrens. 2007. The pls package: Principal component and partial least squares regression in R. Journal of Statistical Software 18 (2). doi:10.18637/jss.v018.i02.
   Web of Science ®Google Scholar
• Mohanta, S., B. Sahoo, and I. Behera. 2016. Effect of crushing on near-gravity material distribution in different size fractions of an Indian non-coking coal. Journal of the Southern African Institute of Mining and Metallurgy 116 (2). doi:10.17159/2411-9717/2016/v116n2a12.
   Web of Science ®Google Scholar
• Mohanta, S., S. Chakraborty, and B. Meikap. 2015. Application of response surface methodology for parametric evaluation of air dense medium fluidized bed separator used for coal cleaning. Minerals & Metallurgical Processing 32 (3):146–54.
   Web of Science ®Google Scholar
• Nguyen, T. D., A. V. Nguyen, C. L. Lin, and J. D. Miller. 2018. Application of high-resolution X-ray microcomputed tomography for coal washability analysis. Minerals Engineering 124:137–48. doi:10.1016/j.mineng.2018.05.027.
   Web of Science ®Google Scholar
• Osborne, D. 2013. The coal handbook towards cleaner production, Vol. 1: Coal production, 776. 1st ed. Oxford UK: Wood Publishing.
   Google Scholar
• Shi, Z., L. Jin, Y. Zhou, Y. Li, and H. Hu. 2017. Online analysis of initial volatile products of Shenhua coal and its macerals with pyrolysis vacuum ultraviolet photoionization mass spectrometry. Fuel Processing Technology 163:67–74. doi:10.1016/j.fuproc.2017.04.006.
   Web of Science ®Google Scholar
• Tan, J., L. Liang, Y. Peng, and G. Xie. 2016. The concentrate ash content analysis of coal flotation based on froth images. Minerals Engineering 92:9–20. doi:10.1016/j.mineng.2016.02.006.
   Web of Science ®Google Scholar
• Thomas, L. 2002. Coal geology, 82 of 384. 1st ed. England: John Wiley & Sons.
   Google Scholar
• U.S. GEOLOGICAL SURVEY, Data Series 231. 2018. http://speclab.cr.usgs.gov/spectral.lib06. last visit
   Google Scholar
• US Environmental Protection Agency. 2018. https://www.epa.gov/regulatory-information-topic/regulatory-information-topic-toxic-substances#chemicals. last visit
   Google Scholar
• van Houwelingen, J. A., and T. P. R. de Jong. 2004. Dry cleaning of coal: Rewiev, fundamentals and opportunities. Geologica 7 (3–4):335–43.
   Google Scholar
• Wetzel, D. L. 1983. Near-infrared reflectance analysis: Sleeper among spectroscopic techniques. Analitical Chemistry 55:1165A–1176A. doi:10.1021/ac00262a718.
   Web of Science ®Google Scholar
• Wills, B. A., and J. Finch. 2015. Wills’ mineral processing technology: An introduction to the practical aspects of ore treatment and mineral recovery, 7th ed., Vol. 512, 417–37. Oxford UK: Butterworth-Heinemann.
   Google Scholar
• Yin, W., Y. Liu, F. Zhou, R. Zhu, Q. Zhang, and F. Jin. 2018. Rapid analysis of heavy metals in the coal ash with laser-induced breakdown spectroscopy. Optik 174:550–57. doi:10.1016/j.ijleo.2018.08.110.
   Web of Science ®Google Scholar
• Young, C., and G. H. Luttrell. 2012. Separation technologies for minerals, coal, and earth resources, 189/739. 1st ed. Colorado, USA: SME.
   Google Scholar
• Zhang, Y., W. B. Jia, R. Gardner, Q. Shan, X. L. Zhang, G. Hou, and H. P. Chang. 2017. A distance correction method for improving the accuracy of particle coal online X-ray fluorescence analysis – Part 2: Method and experimental investigation. Radiation Physics and Chemistry 141:235–38. doi:10.1016/j.radphyschem.2017.07.004.
   Web of Science ®Google Scholar
• Zhang, Z., J. Yang, Y. Wang, D. Dou, and W. Xia. 2014. Ash content prediction of coarse coal by image analysis and GA-SVM. Powder Technology 268:429–35. doi:10.1016/j.powtec.2014.08.044.
   Web of Science ®Google Scholar