scholarly journals The Huber's Method-based Gas Concentration Reconstruction in Multicomponent Gas Mixtures from Multispectral Laser Measurements under Noise Overshoot Conditions

2016 ◽  
Vol 16 (12) ◽  
Author(s):  
V Gorodnichev ◽  
M Belov ◽  
L Eremenko ◽  
V Nazarov
Keyword(s):  
Gas Mixtures ◽  
Gas Concentration ◽  
Laser Measurements ◽  
Multicomponent Gas

scholarly journals Laser gas analysis for multicomponent gas mixtures with essentially different gas concentration

2013 ◽  
Vol 13 (02) ◽  
Author(s):  
Viktor Gorodnichev ◽  
Mikhail Belov ◽  
Andrey Busargin ◽  
Larisa Eremenko
Keyword(s):  
Gas Mixtures ◽  
Gas Analysis ◽  
Gas Concentration ◽  
Multicomponent Gas

scholarly journals Экспериментальная установка на базе перестраиваемого в диапазоне волн 5.3-12.8 μm квантово-каскадного лазера для спектрального анализа выдыхаемого человеком воздуха

2021 ◽  
Vol 129 (6) ◽  
pp. 747
Author(s):  
А.В. Щербакова ◽  
Д.Р. Анфимов ◽  
И.Л. Фуфурин ◽  
И.С. Голяк ◽  
И.А. Трапезникова ◽  
...  
Keyword(s):  
Biomedical Applications ◽  
Peak Power ◽  
Gas Mixtures ◽  
Sensitivity Threshold ◽  
Gas Cell ◽  
Single Spectrum ◽  
Quantum Cascade ◽  
Exhaled Air ◽  
Multicomponent Gas ◽  
Ppm Level

An experimental setup and a method for analyzing multicomponent gas mixtures, including human exhaled air, are presented. The installation consists of a quantum cascade laser, tunable in the wavelength range of 5.3-12.8 µm, with a peak power of 150 mW, and a multi-pass Herriot gas cell, which allows obtaining an optical path of up to 76 m. The registration time of a single spectrum is about 50 ms. For acetone and ethanol, which are potential biomarkers of some human diseases, the sensitivity threshold at the sub-ppm level was experimentally determined. A system of sample preparation and pre-drying is proposed, which allows analyzing both multicomponent gas mixtures and the air exhaled by a person. The variants of application of the described installation in biomedical applications are proposed.

scholarly journals Molecular Simulations of CO2/CH4, CO2/N2 and N2/CH4 Binary Mixed Hydrates

2021 ◽  
Vol 83 (3) ◽  
pp. 372-378
Author(s):  
A. A. Sizova ◽  
S. A. Grintsevich ◽  
M. A. Kochurin ◽  
V. V. Sizov ◽  
E. N. Brodskaya
Keyword(s):  
Carbon Dioxide ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Gas Hydrates ◽  
Molecular Simulations ◽  
Gas Mixtures ◽  
Gas Mixture ◽  
Grand Canonical Monte Carlo ◽  
Multicomponent Gas ◽  
Grand Canonical

Abstract Grand canonical Monte Carlo simulations were performed to study the occupancy of structure I multicomponent gas hydrates by CO2/CH4, CO2/N2, and N2/CH4 binary gas mixtures with various compositions at a temperature of 270 K and pressures up to 70 atm. The presence of nitrogen in the gas mixture allows for an increase of both the hydrate framework selectivity to CO2 and the amount of carbon dioxide encapsulated in hydrate cages, as compared to the CO2/CH4 hydrate. Despite the selectivity to CH4 molecules demonstrated by N2/CH4 hydrate, nitrogen can compete with methane if the gas mixture contains at least 70% of N2.

Role of Spectral Line Profile in Laser IR Analysis of Multicomponent Gas Mixtures

2019 ◽  
Vol 13 (5) ◽  
pp. 727-738
Author(s):  
Sh. Sh. Nabiev ◽  
S. V. Ivanov ◽  
A. S. Lagutin ◽  
L. A. Palkina ◽  
S. V. Malashevich ◽  
...  
Keyword(s):  
Spectral Line ◽  
Line Profile ◽  
Gas Mixtures ◽  
Multicomponent Gas ◽  
Spectral Line Profile ◽  
Ir Analysis

A New Approach to Analyzing Gas Mixtures Based on Improved BP Neural Network Algorithm

2012 ◽  
Vol 260-261 ◽  
pp. 548-553
Author(s):  
Teng Li ◽  
Xiao Mei Yuan ◽  
Shi Liang Yang ◽  
Xin Hui Zhang
Keyword(s):  
Neural Network ◽  
Numerical Simulation ◽  
Bp Neural Network ◽  
Array Signal Processing ◽  
Sensor Arrays ◽  
Gas Mixtures ◽  
New Approach ◽  
Gas Concentration ◽  
Network Algorithm ◽  
Neural Network Algorithm

A new approach is presented for analyzing gas mixtures by transforming the problem into a pattern classification one to reduce the effect of the poor repeatability of sensor response on the prediction of gas concentration. The aim of numerical simulation is to determine how successfully the approach using the combination of artificial neural networks with multi-sensor arrays can analyze multi-component gas mixtures. The results indicate that the new approach is realistic for gas mixture analysis, and numerical simulation is a powerful tool to determine the architecture of a network. By constructing improved BP neural network algorithm and basic BP neural network into sensor array signal processing and extracting 6 component as the input of neural network, Our investigation results indicated that recognition results obtained from improved BP neural network algorithm more accuracy than the results obtained from basic BP neural network.

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