Study of Pretreatment of Detecting Moisture of Coal with Near Infrared SpectroscopyChinese Full Text
YE Chen-hui;LU Hui-shan;YAN Hong-wei;GAO Qiang;College of Mechanical Engineering and Automatization,North University of China;
Abstract: Moisture content is an important indicator of how much coal is good or bad,has a special significance in the study of the basic theory of coal and coal processing.In this study,using multiple scatter correction（MSC）,smooth handling,pretreatment methods of differential treatment based on principal component regression and analysis of the impact of minimum two became law on pulverized coal pretreatment total moisture model;Multiple scatter correction found（MSC） treatment combined with the least squares method to obtain the best model,its calibration model R=0.9881,RMSEC=0.501,R=0.955,RMSEC =0.601;Smoothing can also be found to improve the reliability of the model,but excessive smoothing model reliability will deteriorate;Comprehensive comparison of principal component regression model and least squares model,found that the smallest model to get into law is better than the second principal component regression model obtained.
Keywords：
coal; near infrared spectroscopy; pretreatment; least squares method; principal component regression;
- DOI：
10.13301/j.cnki.ct.2014.04.099
- Series：
- Subject：
- Classification Code：
TQ533
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