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Multivariate statistical assessment of coal properties

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    0431360 - ÚGN 2015 RIV NL eng J - Journal Article
    Klika, Z. - Serenčíšová, J. - Kožušníková, Alena - Kolomazník, I. - Študentová, S. - Vontorová, J.
    Multivariate statistical assessment of coal properties.
    Fuel Processing Technology. Roč. 128, č. 128 (2014), s. 119-127. ISSN 0378-3820. E-ISSN 1873-7188
    R&D Projects: GA MŠk ED2.1.00/03.0082
    Institutional support: RVO:68145535
    Keywords : coal properties * structural,chemical and petrographical properties * multivariate statistics
    Subject RIV: DH - Mining, incl. Coal Mining
    Impact factor: 3.352, year: 2014
    http://dx.doi.org/10.1016/j.fuproc.2014.06.029

    A set of 42 coal samples consisting of coal blends prepared for coking (subset A-blends) and lump coal from coal seams (subset B-single coals) was subjected to multicomponent statistical analysis. For these samples, the study determined their structural properties, proximate characteristics, ultimate characteristics, coal maceral characteristics and coking properties. Using factor analysis, 3 factors were separated. These include the most important coal characteristics with significant mutual correlations. The distribution of the entire set of 42 samples was performed by principal components analysis and hierarchical clustering. It was found that almost the same differentiation of 42 samples into clusters I and II (corresponding to blends and single coals, respectively) can be calculated using only 7 instead of the original 16 properties. These properties are TPA, Ad, Vdaf, Rr, Vitr, Lipt and b.
    Permanent Link: http://hdl.handle.net/11104/0235946
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