Correlating LIBS Coal Data for Coal Property Prediction

Abstract

This report presents results for correlations between coal data derived from laboratory analysis and Laser Induced Breakdown Spectroscopy analysis. LIBS data were used to predict higher order properties of coal using artificial neural network models. Higher order coal properties such as heating value and ash fusion temperature are predicted using LIBS analysis and compared against standard laboratory measurements. Selected formulas for the prediction of coal properties are also presented and compared against the neural network and laboratory results