Spectroscopy and Spectral Analysis, Volume. 44, Issue 10, 2909(2024)

Identification and Detection of Multi-Component Trace Gases Based on Near-Infrared TDLAS Technology Based on SVM

FANG Xiao-meng... WANG Hua-lai, XU Hui, HUANG Meng-qiang and LIU Xiang* |Show fewer author(s)
Author Affiliations
  • School of Electronic and Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • show less
    References(8)

    [2] [2] Agarwal S, Seifert L, Zhu D, et al. Applied Sciences,2023,13(3): 1370.

    [3] [3] Navas M J, Jimnez A M, Asuero A G. Clinica Chimica Acta, 2012, 413(15-16): 1171.

    [4] [4] Zhao C L, Huang D F, Liu Z Y, et al. Acta Photonica Sinica, 2022, 51(2): 0230001.

    [5] [5] Timothy L M, Charles T C, Robert M H, et al. Environmental Science & Technology, 1994, 28(5): 224A.

    [6] [6] Christopher S G, Spearrin R M, Jeffries J B, et al, Progress in Energy and Combustion Science, 2017, 60: 132.

    [7] [7] Elpelt-Wessel I, Reiser M, Morrison D, et al. Atmosphere,2022, 13(1): 53.

    [9] [9] Jha R K. IEEE Sensors Journal, 2021, 22(1): 6.

    [14] [14] Raza M, Xu K, Lu Z, et al. Optics & Laser Technology, 2022, 154: 108285.

    Tools

    Get Citation

    Copy Citation Text

    FANG Xiao-meng, WANG Hua-lai, XU Hui, HUANG Meng-qiang, LIU Xiang. Identification and Detection of Multi-Component Trace Gases Based on Near-Infrared TDLAS Technology Based on SVM[J]. Spectroscopy and Spectral Analysis, 2024, 44(10): 2909

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Jun. 21, 2023

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: Xiang LIU (xjlx1906@126.com)

    DOI:10.3964/j.issn.1000-0593(2024)10-2909-07

    Topics