Quantitative Analysis and Research to Coal Quality Based on Near Infrared Spectrum

Abstract:

In the experiment, firstly, the quantitative analysis models of the total moisture, volatile matter and ash content of the near infrared spectral of the pulverized coal samples are respectively established by adopting the method of partial least squares; as the model has high predicted precision and good stability, we can see that using the NIR analysis method to conduct nondestructive testing to the pulverized coal indirectly is feasible; then a further study is made on the correlation of the total moisture, volatile matter and ash content in pulverized coal samples respectively, through which we found that the ash content and volatile matter in the pulverized coal sample have a high linear correlation; finally, by comparing the ash content value obtained through the correlation function between the ash content and volatile matter with that obtained through partial least squares model, we can find that the ash content value obtained through the linear correlation between ash content and volatile matter in the pulverized coal ash is more accurate and precise.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 575-579
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.575
• Online since: May 2014
• Authors: Hong Wei Yan*, Ze Min Yang, Hui Shan Lu, Ya Hang Ju
• Keywords: Linear Correlation, Near Infrared, Partial Least Squares (PLS), Quantitative Analysis

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