Abstract:
The purpose of this research was to classify and identify the lignite quality
characteristics of Mae Moh Mine by collecting data of chemical lignite composition
from Mae Moh power plant, Lampang since 2007 to 2014. The High Heating Value
was utilized as the criterion to divide the quality groups of lignite into 2 groups,
standard and desirable quality groups, and then built the discriminant equations to
predict the quality groups of lignite with discriminant analysis. The results of research
indicated that factor analysis was able to combine the correlated variables of chemical
lignite composition with 6 factors, slag, heat, moisture, K2O, TiO2 and MnO2.
Then, discriminant analysis was used. Four variables influenced to predict the group
of lignite quality were slag, heat, moisture and K2O. For corrective examination of
the equation to predict the group of lignite quality, the correction percentage in
classification of Confusion matrix were 92.80 and 85.35 in the training and validation
data set, respectively.