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

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

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 t...

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Bibliographic Details
Main Authors: Soo-Min Kim, Kyung-Hoon Park, Choong-Mo Ryu, Jung-Hyun Choi, Seung-Jae Moon
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
laser-induced breakdown spectroscopy
correlation analysis
partial least squares
signal-to-noise
calorific value
delay time
Online Access:https://www.mdpi.com/2076-3417/12/22/11517

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https://www.mdpi.com/2076-3417/12/22/11517

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