Infrared and Laser Engineering, Volume. 50, Issue 5, 20200490(2021)

Classification of iron ore based on machine learning and laser induced breakdown spectroscopy

Yanwei Yang1,2, Lili Zhang1,2, Xiaojian Hao2, and Ruizhong Zhang3
Author Affiliations
  • 1Department of Physics, Luliang University, Lvliang 033000, China
  • 2Key Laboratory of Instrumentation Science and Dynamic Measurement, North University of China, Taiyuan 030051, China
  • 3Shanxi Huaxing Aluminum Industry Co.Ltd., Lvliang 033603, China
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    References(14)

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    [4] Vanselow C, Stöbener D, Kiefer J, et al. Revealing the impact of laser-induced breakdown on a gas flow[J]. Measurement Science and Technology, 31, 027001(2019).

    [5] Mei Yaguang, Cheng Yuxin, Cheng Shusen, et al. Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 47, 0806003(2018).

    [6] Wang Xianshuang, Guo Shuai, Xu Xiangjun, et al. Fast recognition and classification of tetrazole compounds based on laser-induced breakdown spectroscopy and raman spectroscopy[J]. Chinese Optics, 12, 888-895(2019).

    [7] Li Ang'ze, Wang Xianshuang, Xu Xiangjun, et al. Fast classi-fication of tobacco based on laser-induced breakdown spectroscopy[J]. Chinese Optics, 12, 1139-1146(2019).

    [8] Li Yeqiu, Sun Chenglin, Li Qian, et al. Analysis of the heavy metals in atmospheric particulate matter using dual-pulsed laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 48, 1005006(2019).

    [9] Gazeli O, Bellou E, Stefas D, et al. Laser-based classification of olive oils assisted by machine learning[J]. Food Chemistry, 302, 1-7(2020).

    [10] Peng Haobin, Chen Guohua, Chen Xiaoxian, et al. Hybrid classification of coal and biomass by laser-induced breakdown spectroscopy combined with K-means and SVM[J]. Plasma Science and Technology, 21, 64-72(2019).

    [11] Diaz D, Hahn D W, Molina A, et al. Evaluation of Laser-Induced Breakdown Spectroscopy (LIBS) as a measurement technique for evaluation of total elemental concentration in soils[J]. Applied Spectroscopy, 66, 99-106(2012).

    [12] Li Xiaohui, Yang Sibo, Fan Rongwei, et al. Discrimination of soft tissues using laser-induced breakdown spectroscopy in combination with k nearest neighbors (kNN) and support vector machine (SVM) classifiers[J]. Optics and Laser Technology, 102, 233-239(2018).

    [13] Wang P, Li N, Yan C, et al. Rapid quantitative analysis of the acidity of iron ore by laser-induced breakdown spectroscopy (LIBS) technique coupled with variable importance measurement-random forest (VIM-RF)[J]. Analytical Methods, 11, 1-10(2019).

    [14] Zhao Yun, Guindo M L, Xu Xing, et al. Deep learning associated with laser-induced breakdown spectroscopy (LIBS) for the prediction of lead in soil[J]. Applied Spectroscopy, 73, 565-573(2019).

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    Yanwei Yang, Lili Zhang, Xiaojian Hao, Ruizhong Zhang. Classification of iron ore based on machine learning and laser induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2021, 50(5): 20200490

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    Paper Information

    Category: Spectroscopy

    Received: Dec. 10, 2020

    Accepted: --

    Published Online: Aug. 13, 2021

    The Author Email:

    DOI:10.3788/IRLA20200490

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