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Discrete Wavelet Transform on Near-Infrared Spectra Analysis for Moisture Determination in Lignitic Coal Samples

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Abstract:

We studied moisture determination in lignitic coal samples through near-infrared (NIR) technique. This research was developed by applying partical least squares regression (PLS) and discrete wavelet transform (DWT). Firstly, the NIR spectra were pre-processed by DWT for fitting and compression. Then, the compressed data were used to build regression model with PLS for moisture determination in coal samples. Three type DWTs were investigated.Determination performance at different resolution scales was studied. The results show that DWT is a very efficient pre-processing method for NIR spectra analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

319-322

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.319

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Online since:

February 2014

Authors:

Xiao Li Yang*, Neng Bang Hou, Jun You Shi, Yan Fang Li

Keywords:

CoAl, Discrete Wavelet Transform, Moisture, Near Infrared Spectra

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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