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Near‐Infrared CH4 System Based on FWA‐LSSVM Model for Coal Mines.

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Title: Near‐Infrared CH4 System Based on FWA‐LSSVM Model for Coal Mines.
Authors: Jia, Shuqi1 (AUTHOR), Dong, Weizhun1 (AUTHOR), Liu, Kai1 (AUTHOR), Li, Guolin1 (AUTHOR) liguolin@upc.edu.cn
Source: Microwave & Optical Technology Letters. May2026, Vol. 68 Issue 5, p1-9. 9p.
Subjects: Distributed feedback lasers, Support vector machines, Optimization algorithms, Coalbed methane, Gas detectors, Spectrometry, Near infrared radiation
Abstract: The methane (CH4) gas concentration detection system is designed based on tunable diode laser absorption spectroscopy (TDLAS) technology. In this system, a distributed feedback (DFB) laser with the central wavelength of 1653.7 nm is used as the light source, and a multi‐pass gas cell (MPGC) with an optical path of 20 m is used as the gas absorption cell. The concentration inversion model is constructed based on the fireworks (FWA) and least squares support vector machine (LSSVM) algorithm, and it is used to invert the second harmonic (2f) signals corresponding to different concentrations of CH4 gas to verify its performance, where the root mean square error (RMSE) is 3.2896 ppm and R2 is 0.9996. Compared with the classical least squares method (CLS) algorithm, the constructed concentration inversion model can effectively improve the detection accuracy of the system and achieve high‐precision inversion of the absorption spectrum signals. [ABSTRACT FROM AUTHOR]
Copyright of Microwave & Optical Technology Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 194139462
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  Label: Title
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  Data: Near‐Infrared CH<subscript>4</subscript> System Based on FWA‐LSSVM Model for Coal Mines.
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  Data: <searchLink fieldCode="AR" term="%22Jia%2C+Shuqi%22">Jia, Shuqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Weizhun%22">Dong, Weizhun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Kai%22">Liu, Kai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Guolin%22">Li, Guolin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liguolin@upc.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Microwave+%26+Optical+Technology+Letters%22">Microwave & Optical Technology Letters</searchLink>. May2026, Vol. 68 Issue 5, p1-9. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Distributed+feedback+lasers%22">Distributed feedback lasers</searchLink><br /><searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Coalbed+methane%22">Coalbed methane</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+detectors%22">Gas detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometry%22">Spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Near+infrared+radiation%22">Near infrared radiation</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The methane (CH4) gas concentration detection system is designed based on tunable diode laser absorption spectroscopy (TDLAS) technology. In this system, a distributed feedback (DFB) laser with the central wavelength of 1653.7 nm is used as the light source, and a multi‐pass gas cell (MPGC) with an optical path of 20 m is used as the gas absorption cell. The concentration inversion model is constructed based on the fireworks (FWA) and least squares support vector machine (LSSVM) algorithm, and it is used to invert the second harmonic (2f) signals corresponding to different concentrations of CH4 gas to verify its performance, where the root mean square error (RMSE) is 3.2896 ppm and R2 is 0.9996. Compared with the classical least squares method (CLS) algorithm, the constructed concentration inversion model can effectively improve the detection accuracy of the system and achieve high‐precision inversion of the absorption spectrum signals. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Microwave & Optical Technology Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mop.70636
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 1
    Subjects:
      – SubjectFull: Distributed feedback lasers
        Type: general
      – SubjectFull: Support vector machines
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Coalbed methane
        Type: general
      – SubjectFull: Gas detectors
        Type: general
      – SubjectFull: Spectrometry
        Type: general
      – SubjectFull: Near infrared radiation
        Type: general
    Titles:
      – TitleFull: Near‐Infrared CH4 System Based on FWA‐LSSVM Model for Coal Mines.
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            NameFull: Jia, Shuqi
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            NameFull: Dong, Weizhun
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            NameFull: Liu, Kai
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            NameFull: Li, Guolin
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 68
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              Value: 5
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            – TitleFull: Microwave & Optical Technology Letters
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