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The prediction of coal properties using compressed infrared data from osculating polynomials
Authors:Carlos E. Alciaturi   Thais Montero   Carlos De La Cruz  Marcos E. Escobar  
Affiliation:

a Instituto Zuliano de Investigaciones Tecnológicas (INZIT-CICASI), Apartado 1114, Maracaibo, Venezuela

b Laboratorio de Espectroscopia Molecular y Atómica, Departamento de Química, Facultad Experimental de Ciencias, La Universidad del Zulia (LUZ.), Grano de Oro, Maracaibo, Venezuela

Abstract:Reduction of the representation of infrared spectra from coal samples by osculating polynomials of degree nine is discussed. The reduced representation contains polynomial coefficients of order zero to four. Mathematical models of the original spectra are obtained by linear combination of the coefficients. These compressed models are statistically correlated to coal properties, namely, volatile matter, fixed carbon, ash content, heating value, hydrogen, carbon, sulphur, nitrogen, and maximum vitrinite reflectance, and the results are compared with those previously obtained from second derivatives of the same spectra. The use of compressed data, while giving slightly better correlations for some of the properties, has the advantage of requiring less computational time.
Keywords:Data compression   Infrared spectrometry   Coal
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