Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media

V. V. Prischepa; V. E. Skiba; D. A. Vrazhnov; А. A. Markelov

doi:10.1117/12.2581568

17 November 2020 Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media

V. V. Prischepa, V. E. Skiba, D. A. Vrazhnov, А. A. Markelov

Author Affiliations +

Proceedings Volume 11582, Fourth International Conference on Terahertz and Microwave Radiation: Generation, Detection, and Applications; 115821J (2020) https://doi.org/10.1117/12.2581568
Event: Fourth International Conference on Terahertz and Microwave Radiation: Generation, Detection, and Applications, 2020, Tomsk, Russian Federation

Abstract

The regression model was applied to solve the problem of restoration of the concentration of components in a gas mixture using infrared absorption spectra. A solution to the problem of determining the concentrations of individual components of a multicomponent gas mixture is suggested and tested.

Citation Download Citation

V. V. Prischepa, V. E. Skiba, D. A. Vrazhnov, and А. A. Markelov "Application of laser absorption spectroscopy and machine learning for component analysis of multicomponent gas media", Proc. SPIE 11582, Fourth International Conference on Terahertz and Microwave Radiation: Generation, Detection, and Applications, 115821J (17 November 2020); https://doi.org/10.1117/12.2581568

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