Podrobnosti záznamu

Název
    Multivariate statistical assessment of coal properties
Autor
    Klika, Z.
    Kolomazník, I.
    Kožušníková, Alena
    Serenčíšová, J.
    Študentová, S.
    Vontorová, J.
Jazyk
    anglicky
Typ dokumentu
    článek v odborném periodiku
Zdrojový dokument - seriál
    Fuel Processing Technology
Svazek/č.
    Roč. 128, -
Strany
    s. 119-127
Rok
    2014
Poznámky
    Autoři celkem: 6
    Projekt: ED2.1.00/03.0082, GA MŠk3cav_un_auth*0280791
    Projekt RFCR-CT-2010-00008 - The European Community´s Research Fund for Coal and Steel
    Rozsah: 9 s. : E
Předmětová kategorie
    coal properties
    multivariate statistics
    structural,chemical and petrographical properties
Klíčové slovo
    Assessment
    Coal
    Multivariate
    Properties
    Statistical
Abstrakt (anglicky)
   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.
Přispěvatel
    AV ČR Brno, Ústav geoniky
Kód přispěvatele
    AV ČR, ÚG
Zdrojový formát
    U
Datum importu
    24. 10. 2014