Discrete Wavelet Transform on Near-Infrared Spectra Analysis for Moisture Determination in Lignitic Coal Samples-Reference-Cited by-同舟云学术

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

Published:2014-02-06 Issue: Volume:513-517 Page:319-322
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Yang Xiao Li¹,Hou Neng Bang¹,Shi Jun You¹,Li Yan Fang¹

Affiliation:

1. Qujing Normal University

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.513-517.319.pdf

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