Software Approach for the Best Correlation between Intrinsic Properties and Susceptibility Indices of Coal Seam

Abstract

Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. Correlation analysis measures the degree to which changes in one variable are related with changes in another. A proper assessment of the best correlation of coal needs to be done so that mine operators are notified well about the classification and spontaneous heating susceptibility of coal in advance. Therefore, the determination of the best correlation of coal between the intrinsic properties and susceptibility indices of coals to spontaneous heating is essential for a better classification. A user friendly application has been made which records the various parameters of the coal which have been determined by proximate analysis, the ultimate analysis and the petrographic analysis, they were all correlated with the susceptibility indices of coal. After the correlation it generates the best correlation coefficient between the various parameters of susceptibility indices and intrinsic. The susceptibility indices are taken as dependent variables and each constituent obtained from the proximate, ultimate and petrographic analyses as an independent variable. The main aim of this analysis is to investigate the relation between the susceptibility indices and the intrinsic properties and their variations in correlation and generate the best correlation. The data inputs are entered according to the mining conditions for determining the best results of correlation. This software is useful in advance to know the best correlation between intrinsic properties and susceptibility indices which will be helpful to know the classification of coal.