Quantitative analysis of coal quality by laser-induced breakdown spectroscopy assisted with different chemometric methods-Reference-Cited by-同舟云学术

Quantitative analysis of coal quality by laser-induced breakdown spectroscopy assisted with different chemometric methods

Published:2020 Issue:27 Volume:12 Page:3530-3536
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Zhang Youjian¹²³⁴,Xiong Zhang¹²³⁴^ORCID,Ma Yiwen¹²³⁴,Zhu Chenwei¹²³⁴,Zhou Ran¹²³⁴,Li Xiangyou¹²³⁴^ORCID,Li Qing⁵⁶⁴,Zeng Qingdong¹²³⁴⁷^ORCID

Affiliation:

1. Wuhan National Laboratory for Optoelectronics (WNLO)

2. Huazhong University of Science and Technology

3. Wuhan

4. P. R. China

5. Hubei Energy Group Ezhou Power Generation Company Limited

6. Ezhou 436032

7. School of Physics and Electronic-information Engineering

Abstract

LIBS technique assisted with four different chemometric methods was applied to rapid and accurate measurement of coal quality, and the modeling efficiency and prediction accuracy of the four calibration methods were compared and discussed.

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/AY/D0AY00905A

Reference33 articles.

1. Electric utility coal quality analysis using artificial neural network techniques

2. J. G. Speight , Handbook of coal analysis , John Wiley & Sons, Inc , New Jersey , 2015

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. Machine learning in laser-induced breakdown spectroscopy: A review;Frontiers of Physics;2024-07-12

3. Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy;Plasma Science and Technology;2024-07-01

4. Rapid quantitative analysis of petroleum coke properties by laser-induced breakdown spectroscopy combined with random forest based on a variable selection strategy;RSC Advances;2024

5. Quantitative analysis of coal industrial index based on data set partitioning method;AOPC 2023: Laser Technology and Applications; and Optoelectronic Devices and Integration;2023-12-18