Infrared Technology, Volume. 45, Issue 2, 209(2023)

Detection of Methane Concentration Based on TDLAS Technology and Wavelet Transform Denoising Algorithm

Chengquan LIANG1、*, Deshen LYU1, Haoliang ZHU1, and Xiao LU2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(3)

    [6] [6] DENG Jun, CHEN Weile, WANG Weifeng, et al. Study on online detection method of methane gas in coal mine based on TDLAS technology[C]//Proceedings of the 11th International Mine Ventilation Congress, 2018(4): 318-332.

    [7] [7] WANG Zhimin, WANG Han, YU Yingchun, et al. Simulation and analysis of CH4 concentration measurement based on QCL-TDLAS[J]. IOP Conference Series Earth and Environmental Science, 2020, 568(1): 012013.

    [8] [8] GAO Zongli, YE Weilin, ZHENG Chuantao, et al. Wavelet-denoising technique in near-infrared methane detection based on tunable diode laser absorption spectroscopy[J]. Optoelectronics Letters, 2014(10): 299-303.

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    LIANG Chengquan, LYU Deshen, ZHU Haoliang, LU Xiao. Detection of Methane Concentration Based on TDLAS Technology and Wavelet Transform Denoising Algorithm[J]. Infrared Technology, 2023, 45(2): 209

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    Paper Information

    Received: May. 11, 2022

    Accepted: --

    Published Online: Mar. 20, 2023

    The Author Email: Chengquan LIANG (Teach_530200@126.com)

    DOI:

    CSTR:32186.14.

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