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Multivariate statistical assessment of coal properties
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SYSNO ASEP 0431360 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Multivariate statistical assessment of coal properties Author(s) Klika, Z. (CZ)
Serenčíšová, J. (CZ)
Kožušníková, Alena (UGN-S) RID
Kolomazník, I. (CZ)
Študentová, S. (CZ)
Vontorová, J. (CZ)Number of authors 6 Source Title Fuel Processing Technology. - : Elsevier - ISSN 0378-3820
Roč. 128, č. 128 (2014), s. 119-127Number of pages 9 s. Publication form Online - E Language eng - English Country NL - Netherlands Keywords coal properties ; structural,chemical and petrographical properties ; multivariate statistics Subject RIV DH - Mining, incl. Coal Mining R&D Projects ED2.1.00/03.0082 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UGN-S - RVO:68145535 UT WOS 000343389900014 DOI 10.1016/j.fuproc.2014.06.029 Annotation 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. Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2015 Electronic address http://dx.doi.org/10.1016/j.fuproc.2014.06.029
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