Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements-Reference-Cited by-同舟云学术

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Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements

Published:2019-10 Issue: Volume:252 Page:113448
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ren Tao,Modest Michael F.,Fateev Alexander,Sutton Gavin,Zhao Weijie,Rusu Florin

Funder

European Metrology Programme for Innovation and Research

European Union’s Horizon 2020 Research and Innovation Program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference77 articles.

1. Two-dimensional flame temperature and emissivity measurements of pulverized oxy-coal flames;Draper;Appl Energy,2012

2. Two-color pyrometer-based method for measuring temperature profiles and attenuation coefficients in a coal power plant;Lukovic;Combust Sci Technol,2018

3. Quantitative acetylene measurements in laminar and turbulent flames using 1D Raman/Rayleigh scattering;Fuest;Combust Flame,2015

4. Assessing the relative importance of flame regimes in Raman/Rayleigh line measurements of turbulent lifted flames;Hartl;Proc Combust Inst,2019

5. Measurements of NO concentration in NH 3-doped CH 4+ air flames using saturated laser-induced fluorescence and probe sampling;Li;Combust Flame,2013

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