Analysis of sulfur in coal with Near Infrared Spectroscopy
ZHENG Zhong
Abstract：In order to investigate the sulfur in coal,the authors collected the near-infrared diffuse reflection spectrum from 120 coal sam-ples,the mathematical model which introduced partial least squares regression (PLSR) combined with different spectrum pretreatment methods were established.Then the paper compared the model with industrial detection.The results showed that,the PLSR modeling of sul-fur by 5 points smooth had better effects.The root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were 0.0406 and 0.0423,with correlation coefficients of 0.89695 respectively.The results indicated that the model had high rel-evance,stability and accuracy.
Keywords：near-infrared spectroscopyPLSRquantitativetotal sulfur
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 74-75,79 )