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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]
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Database: Engineering Source
Description
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]
ISSN:08952477
DOI:10.1002/mop.70636