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Progress in the Application of Laser-Induced Breakdown Spectroscopy in Coal Quality Analysis

Author

Listed:
  • Ning Guo

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

  • Li Xu

    (Anhui Special Equipment Inspection Institute, 45 Dalian Road, Hefei 230051, China)

  • Wei Gao

    (Anhui Special Equipment Inspection Institute, 45 Dalian Road, Hefei 230051, China)

  • Hongwei Xia

    (Anhui Special Equipment Inspection Institute, 45 Dalian Road, Hefei 230051, China)

  • Min Xie

    (Harbin Electric Science and Technology Co., Ltd., Harbin 150028, China)

  • Xiaohan Ren

    (Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China)

Abstract

In recent years, with the increase in environmental awareness, people have become more and more concerned about the effectiveness with which coal burns. Laser-induced breakdown spectroscopy (LIBS) has become an important way of coal elemental analysis because of its uncomplicated sample handling, remote sensing capability, and superior sensitivity in identifying a wide range of elements, including both major and minor constituents, down to trace levels. However, the complexity of its mechanism of action, the experimental environmental factors, and the presence of matrix effects in its measurement spectrum have affected the measurement accuracy. In this paper, on the basis of introducing the experimental process and principle of LIBS, we summarize and analyze the influence of each factor on the LIBS detection medium, summarize the mainstream model analysis algorithms, and analyze the advantages and disadvantages of each model. While summarizing the LIBS in media detection in recent years, it aims to provide strong support and guidance for subsequent more in-depth exploration and research.

Suggested Citation

  • Ning Guo & Li Xu & Wei Gao & Hongwei Xia & Min Xie & Xiaohan Ren, 2024. "Progress in the Application of Laser-Induced Breakdown Spectroscopy in Coal Quality Analysis," Energies, MDPI, vol. 17(14), pages 1-36, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3559-:d:1438811
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    References listed on IDEAS

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    3. Scornet, Erwan, 2016. "On the asymptotics of random forests," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 72-83.
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