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<p>A C<sub>2</sub>H<sub>4</sub>/CH<sub>4</sub> two-component synchronous monitoring sensor based on aliasing spectra decoupling model is designed. The distributed feedback (DFB) laser with the central wavelength of 1626 nm and the multi-pass gas cell (MPGC) with an effective optical path of 20 m are integrated into the sensor. The aliasing spectra decoupling model effectively decouples second harmonic (2f) signals, and its decoupling performance is validated through carrying out concentration monitoring experiments of mixed gases C<sub>2</sub>H<sub>4</sub> and CH<sub>4</sub>, where the concentration range of C<sub>2</sub>H<sub>4</sub> is 4–100 ppm and the CH<sub>4</sub> is 20–500 ppm. Under the background of severe aliasing of C<sub>2</sub>H<sub>4</sub> and CH<sub>4</sub> absorption lines, the sensor can still achieve high-precision inversion of each single gas. Among them, the root-mean-square error (RMSE) of C<sub>2</sub>H<sub>4</sub> is 0.7491 ppm, while for CH<sub>4</sub> it is 10.4028 ppm. In comparison to the least squares method, the precision of concentration inversion is significantly enhanced. This indicates that the aliasing spectra decoupling model is capable of mitigating the impact of aliasing absorption lines on the accuracy of concentration inversion.</p> Graphical abstract <p></p>

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A near-infrared transformer fault gases C2H4/CH4 sensor based on aliasing spectra decoupling model with eigenvalues extraction

  • 期刊论文

  • 发表日期：

    2025年6月5日

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  • Guolin Li,
  • Longju Li,
  • Jiarui Li,
  • Yingjie Zhao,
  • Ruixiang Sun,
  • Haoran Yuan,
  • Guangzhao Cui,
  • Jianyu Gu,
  • Jinxu Yang,
  • Wenxuan Zhao,
  • Xin Zhang

摘要

A C2H4/CH4 two-component synchronous monitoring sensor based on aliasing spectra decoupling model is designed. The distributed feedback (DFB) laser with the central wavelength of 1626 nm and the multi-pass gas cell (MPGC) with an effective optical path of 20 m are integrated into the sensor. The aliasing spectra decoupling model effectively decouples second harmonic (2f) signals, and its decoupling performance is validated through carrying out concentration monitoring experiments of mixed gases C2H4 and CH4, where the concentration range of C2H4 is 4–100 ppm and the CH4 is 20–500 ppm. Under the background of severe aliasing of C2H4 and CH4 absorption lines, the sensor can still achieve high-precision inversion of each single gas. Among them, the root-mean-square error (RMSE) of C2H4 is 0.7491 ppm, while for CH4 it is 10.4028 ppm. In comparison to the least squares method, the precision of concentration inversion is significantly enhanced. This indicates that the aliasing spectra decoupling model is capable of mitigating the impact of aliasing absorption lines on the accuracy of concentration inversion.

Graphical abstract