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Applied Sciences
Article . 2022 . Peer-reviewed
License: CC BY
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Applied Sciences
Article . 2022
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Estimating Calorific Value of Coal Using Laser-Induced Breakdown Spectroscopy through Statistical Algorithms: Correlation Analysis, Partial Least Squares, and Signal-to-Noise Ratio

Authors: Soo-Min Kim; Kyung-Hoon Park; Choong-Mo Ryu; Jung-Hyun Choi; Seung-Jae Moon;

Estimating Calorific Value of Coal Using Laser-Induced Breakdown Spectroscopy through Statistical Algorithms: Correlation Analysis, Partial Least Squares, and Signal-to-Noise Ratio

Abstract

The objective of this study was to compare different statistical algorithms for estimating the calorific value of coal based on a quantitative analysis of the elements in coal. Laser-induced breakdown spectroscopy (LIBS) was applied for the elemental analysis. Three different algorithms, including the correlation analysis (CA) method, the partial least squares (PLS) analysis method, and the signal-to-noise ratio (SNR), were adopted to accurately determine the concentrations of the elements in coal by using Dulong’s equation. Special emphasis was placed on the selection of the delay time to improve the measurement accuracy. The coefficient of determination, R2, was considered for optimizing the delay time. The intensity–concentration calibration curves were obtained for the elements in coal and the elemental concentration correlations were estimated on the basis of the calibration curves of each element. The CA showed a higher accuracy compared to PLS and the SNR. This confirmed that LIBS shows potential for the rapid determination of the calorific value of coal.

Keywords

Technology, QH301-705.5, correlation analysis, T, Physics, QC1-999, delay time, Engineering (General). Civil engineering (General), laser-induced breakdown spectroscopy, Chemistry, laser-induced breakdown spectroscopy; correlation analysis; partial least squares; signal-to-noise; calorific value; delay time, partial least squares, calorific value, TA1-2040, Biology (General), signal-to-noise, QD1-999

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Top 10%
Average
Average
gold