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
刊名Measurement
2021
卷号182期号:9页码:2372-2375
ISSN号0263-2241
DOI10.1016/j.measurement.2021.109739
英文摘要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.
URL标识查看原文
内容类型期刊论文
源URL[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
推荐引用方式
GB/T 7714
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace