Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 32Issue 1
Feb. 2023
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2023> 32(1): 41-51
Bo Yan, Shuaihui Li, Hao Chen. GP Algorithm-Based Fourier Transform Infrared Spectrum Trend Term Removal Model[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2023, 32(1): 41-51. doi: 10.15918/j.jbit1004-0579.2022.124
Citation: Bo Yan, Shuaihui Li, Hao Chen. GP Algorithm-Based Fourier Transform Infrared Spectrum Trend Term Removal Model[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2023, 32(1): 41-51.doi:10.15918/j.jbit1004-0579.2022.124
shu

GP Algorithm-Based Fourier Transform Infrared Spectrum Trend Term Removal Model

doi:10.15918/j.jbit1004-0579.2022.124
  • 1.

    School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China

  • 2.

    State Key Laboratory of High Temperature Gas Dynamics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

Funds:This work was supported by JKW Program (No. M102-03) and National Program (No. E0F80246).
More Information
  • Author Bio:

    Bo Yanreceived the B.E. degree from Anhui university, 2020. He is currently a master’s student at the Institute of Mechanics, Chinese Academy of Sciences, and his current research interests are in hyperspectral infrared gas detection

    Shuaihui Liis currently a professor of Institute of Mechanics, Chinese Academy of Sciences, director of the Chinese Aerodynamics Society, is the technical leader of a key national model test vehicle, his main research interests are rarefied gas dynamics, non-equilibrium radiation effects, environmental characteristics of the transition flow region and sudden defense flight

    Hao Chenreceived Ph.D. degree in Beijing Institute of Technology at 2016. He is currently an associate researcher of Institute of Mechanics, Chinese Academy of Sciences. His main research interests are the characteristics of the light environment in the near space and LIDAR, etc. He has published 8 academic papers, including 3 SCI indexed papers, with more than 20 citations

  • Corresponding author:lee@imech.ac.cn
  • Received Date:2022-11-07
  • Rev Recd Date:2022-12-27
  • Accepted Date:2022-12-28
  • Publish Date:2023-02-28
    Abstract
  • Trend term removal is a key step in Fourier transform infrared spectroscopy(FTIR) data pre-processing. The most commonly used least squares (LS) method, although satisfying the real-time requirement, has many problems such as highly correlated initial values of the expression parameters, the need to pre-estimate the trend term shape, and poor fitting accuracy at low signal-to-noise ratios. In order to achieve real-time and robust trend term removal, a new trend term removal method using genetic programming (GP) in symbolic regression is constructed in this paper, and the FTIR simulation interference results and experimental measurement data for common volatile organic compounds (VOCs) gases are analyzed. The results show that the genetic programming algorithm can both reduce the initial value requirement and greatly improve the trend term accuracy by 20%–30% in three evaluation indicators, which is suitable for gas FTIR detection in complex scenarios.
    • FullText(HTML)
  • loading
    • References (12)
  • [1]
    D. Ying, X. Bin, and B. Zhao, “Analysis of Interferometer System in a Large Aperture Static Imaging Spectrometer, ” Acta Optica Sinica, vol. 21, no. 3, pp. 330-334, 2001.
    [2]
    C. Li, G. Lv, L. Yuan, Y. Wang, J. Jin, Y. Xu , C Liu, Z. He, and J. Wang, “Laboratory calibration and application of the airborne thermal infrared hyperspectral imager (ATHIS), ” Infrared and Laser Engineering, vol. 49, no. 5, pp. 158-164, 2020.
    [3]
    R. Harig, G. Matz, and P. Rusch, “Scanning infrared remote sensing system for identification, visualization, and quantification of airborne pollutants, ” Proceedings of SPIE the International Society for Optical Engineering,vol. 4574, no. 5, pp. 83-94, 2002.
    [4]
    M. Gålfalk, G. Olofsson, P. Crill, and D. Bastviken, “Making methane visible, ” Nature Climate Change,vol. 6, no. 4, pp. 426-430, 2016.
    [5]
    L. Shao, C. W. Roske, and P. R. Griffiths, “Detection of chemical agents in the atmosphere by open-path FT-IR spectroscopy under conditions of background interference: II. fog and rain, ” Analytical & Bioanalytical Chemistry, vol. 397, no. 4, pp. 1521-1528, 2010.
    [6]
    N. Su, D. Thiruvady, and A. Ernst, “Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling, ” in GECCO 2018, Kyoto, Japan, July, 2018, pp. 1167-1174.
    [7]
    X. Liu, W. Zhang, M. Huang, and Z. Wang, “FTIR spectra of isoprene and its PHOTOOX IDATION products, ” Journal of Infrared and Millimeter Waves, vol. 29, no. 2, pp. 114-116+127, 2010.
    [8]
    W. J. Smith, Modern optical engineering, San Jose, USA: SPIE Press, 2008.
    [9]
    C. G. Leburn, O. Kara, and D. T. Reid, “Laser spectroscopy-using active FTIR to distinguish between multiple gases, ” Laser Focus World, vol. 55, no. 11, pp. 47-49, 2019.
    [10]
    L. Valerio, M. Giuseppe, B. Antonio , S. Giuseppe , and M. Pellegrino , “Combining FTIR spectroscopy and pressure-decay techniques to analyze sorption isotherms and sorption kinetics of pure gases and their mixtures in polymers: The case of CO 2and CH 4sorption in polydimethylsiloxane, ” Journal of Membrane Science, vol. 652, no. 2, pp. 1-11, 2022.
    [11]
    W. Dietrich, C. H. Rudel, and M. Neumann, “Fast and precise automatic base-line correction of one-dimensional and 2-dimensional NMR-spectra, ” Journal of Magnetic Resonance, vol. 91, no. 11, pp. 1-11, 1991.
    [12]
    M. Sipper and J. H. Moore, “Genetic programming theory and practice: a fifteen-year trajectory, ” Genetic Programming and Evolvable Machines, vol. 21, no. 2, pp. 1-11, 2019.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(17)/Tables(5)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (34) PDF downloads(13) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

    Return
    Return
      Baidu
      map