Industrial at-line analysis of coal properties using laser-induced breakdown spectroscopy combined with machine learning-Reference-Cited by-同舟云学术

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Industrial at-line analysis of coal properties using laser-induced breakdown spectroscopy combined with machine learning

Published:2021-12 Issue: Volume:306 Page:121667
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Song Weiran,Hou Zongyu,Gu Weilun,Wang Hui,Cui Jiacheng,Zhou Zhenhua,Yan Gangyao,Ye Qing,Li Zhigang,Wang Zhe

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference34 articles.

1. Statistical Review of World Energy 2020. https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html.

2. Reflectance spectroscopy based rapid determination of coal quality parameters;Begum;Fuel,2020

3. Coal analysis by laser-induced breakdown spectroscopy: a tutorial review;Sheta;J Anal At Spectrom,2019

4. Online identification of the lower heating value of the coal entering the furnace based on the boiler-side whole process models;Xu;Fuel,2015

5. Quantitative multi-element analysis of Argonne Premium Coal samples by ETV-ICP OES - a highly efficient direct analytical technique for inorganics in coal;Vogt;Fuel,2015

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1. Coal type identification with application result quantification based on deep-ensemble learning and image-encoded reflectance spectroscopy;Fuel;2024-10

2. Methods for optimization of the original signal in laser induced breakdown spectroscopy;Spectrochimica Acta Part B: Atomic Spectroscopy;2024-08

3. Progress in the Application of Laser-Induced Breakdown Spectroscopy in Coal Quality Analysis;Energies;2024-07-19

4. Analysis of quartz content in muck based on artificial intelligence algorithms and laser-induced breakdown spectroscopy in TBM tunneling;Bulletin of Engineering Geology and the Environment;2024-07-16

5. Fusion of Laser-Induced Breakdown Spectroscopy and Raman Spectroscopy for Mineral Identification Based on Machine Learning;Molecules;2024-07-14

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