Classifying Coal Blend on the Basis of IR Spectra and Multidimensional Analysis

The possibility of classifying coal in terms of IR spectra and soft independent modeling of class analogy (SIMCA) is considered. The samples investigated are first divided into two basic classes: optimal blend; and the alternative set of other blends. Spectral classification may be useful in identif...

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Bibliographic Details
Published inCoke and chemistry (New York, N.Y.) Vol. 64; no. 8; pp. 341 - 346
Main Authors Gavrilova, A. I., Popov, V. K., Butakova, V. I., Kuvarin, A. A.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.08.2021
Springer Nature B.V
Subjects
Chemistry
Chemistry and Materials Science
Coal
Industrial Chemistry/Chemical Engineering
Infrared analysis
Infrared spectroscopy
Mixtures
Spectra
Spectral classification
coal blend
coke quality
infrared (IR) spectrum
coal
soft independent modeling of class analogy (SIMCA)
classification
coking
pattern recognition
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Summary:The possibility of classifying coal in terms of IR spectra and soft independent modeling of class analogy (SIMCA) is considered. The samples investigated are first divided into two basic classes: optimal blend; and the alternative set of other blends. Spectral classification may be useful in identifying the structural similarity of blends, so as to ensure stable coke quality.
ISSN:1068-364X
1934-8398
DOI:10.3103/S1068364X21080032