Estimating Calorific Value of Coal Using Laser-Induced Breakdown Spectroscopy through Statistical Algorithms: Correlation Analysis, Partial Least Squares, and Signal-to-Noise Ratio
- 주제(키워드) laser-induced breakdown spectroscopy , correlation analysis , partial least squares , signal-to-noise , calorific value , delay time
- 주제(기타) Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied
- 설명문(일반) [Kim, Soo-Min; Park, Kyung-Hoon; Ryu, Choong-Mo; Moon, Seung-Jae] Hanyang Univ, Dept Mech Convergence Engn, Seoul 04763, South Korea; [Kim, Soo-Min] Korea Author Land & Infrastruct Safety, Jinju 52852, South Korea; [Park, Kyung-Hoon] Korea Automot Technol Inst, Cheonan 31214, South Korea; [Choi, Jung-Hyun] Ewha Womans Univ, Dept Environm Sci & Engn, Seoul 03760, South Korea
- 등재 SCIE, SCOPUS
- OA유형 Green Published, gold
- 발행기관 MDPI
- 발행년도 2022
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000203118
- 본문언어 영어
- Published As https://doi.org/10.3390/app122211517
초록/요약
Featured Application This work can be applied to in situ estimation measurements of the calorific value of coal using laser-induced breakdown spectroscopy. 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, R-2, 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.
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