Correction of moisture interference in laser-induced breakdown spectroscopy detection of coal by combining neural networks and random spectral attenuation
Author:
Affiliation:
1. Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology (HUST), Wuhan, Hubei, 430074, P. R. China
2. Binzhou Medical University, Yantai, Shandong 264003, P. R. China
Abstract
Funder
China Postdoctoral Science Foundation
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Spectroscopy,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2022/JA/D2JA00138A
Reference37 articles.
1. National Bureau of Statistics of China , https://www.stats.gov.cn/english/PressRelease/202202/t20220227_1827963.html , (accessed 13 April 2022)
2. Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)
3. Application of LIBS for direct determination of volatile matter content in coal
4. Advanced Coal Characterization: A Review
5. Methodology and applications of elemental mapping by laser induced breakdown spectroscopy
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1. Determination of ash content, volatile matter, and calorific value in coal by OLS combined with laser-induced breakdown spectroscopy based on PC recombination;Journal of Analytical Atomic Spectrometry;2023
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