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Retrieval of gas concentrations in optical spectroscopy with deep learning
L. B. Tian; J. C. Sun; J. Chang; J. B. Xia; Z. F. Zhang; A. A. Kolomenskii; H. A. Schuessler and S. S. Zhang
2021
发表期刊Measurement
ISSN0263-2241
卷号182期号:9页码:2372-2375
摘要A novel direct absorption spectroscopy gas sensing system based on end-to-end deep neural networks was proposed for measurements of gas concentration. One-dimensional convolutional neural network and deep multi-layer perceptron were explored to measure the concentrations of methane and acetylene. The accurate measurement results for both gases demonstrated that deep neural networks based direct absorption spectros-copy technique can be reliably applied to different gas molecules. The developed gas sensing system achieved more precise concentration retrieval compared with that of wavelength modulation spectroscopy, and fast computation speed as well as robustness to noisy conditions, laser aging and circuit parameter variation simultaneously. The combination of deep neural networks and direct absorption spectroscopy provides new ideas for the further research of gas absorption spectroscopy.
DOI10.1016/j.measurement.2021.109739
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/65600
专题中国科学院长春光学精密机械与物理研究所
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L. B. Tian,J. C. Sun,J. Chang,et al. Retrieval of gas concentrations in optical spectroscopy with deep learning[J]. Measurement,2021,182(9):2372-2375.
APA L. B. Tian.,J. C. Sun.,J. Chang.,J. B. Xia.,Z. F. Zhang.,...&H. A. Schuessler and S. S. Zhang.(2021).Retrieval of gas concentrations in optical spectroscopy with deep learning.Measurement,182(9),2372-2375.
MLA L. B. Tian,et al."Retrieval of gas concentrations in optical spectroscopy with deep learning".Measurement 182.9(2021):2372-2375.
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