Correlation Between Pressure Pulsations and the Pilot Fuel Ratio in a DLE Combustor of a Gas Turbine Engine as an Evaluation Criteria for the Fuel-Air Mixture Homogeneity
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38126-3_28
Reference20 articles.
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2. Vanderhaegen, E., Deneve, M.: Predictive emissions monitoring using a continuously updating neural network. In: Proceedings of the ASME Turbine Technical Conference and Exposition (Turbo Expo 2010) Volume 2: Combustion, Fuels and Emissions, Parts A and B, GT2010–22899, ASME, Glasgow, 14–18 June 2010 (2010). https://doi.org/10.1115/GT2010-22899
3. Lamont, W.G., Roa, M., Lucht, R.: Application of artificial neural networks for the prediction of pollutant emissions and outlet temperature in fuel staged gas turbine combustion rig. In: Proceedings of the ASME Turbine Technical Conference and Exposition (Turbo Expo 2014) Volume 4A: Combustion, Fuels and Emissions, GT2014–25030, V04AT04A002, ASME, Dusseldorf, 16–20 June 2014 (2014).https://doi.org/10.1115/GT2014-25030
4. Reumschüssel, J.M., Von Saldern, J.G.R., Kaiser, T.L., et al.: NOx emission modelling for lean premixed industrial combustors with a diffusion pilot burner. In: Proceedings of the ASME Turbine Technical Conference and Exposition (Turbo Expo 2021) Volume 4A: Combustion, Fuels and Emissions, GT2021–59071, V03AT04A035, ASME, Virtual, Online, 7–11 June 2021 (2021). https://doi.org/10.1115/GT2021-59071
5. Avgustinovich, V.G., Kuznetsova, T.A., Nugumanov, A.D.: Development of neural systems for monitoring and controlling emission of gas transmission and power gas turbine units. Bull. Tomsk Polytech. Univ. Geo Assets Eng. 330(8), 7–17 (2019). https://doi.org/10.18799/24131830/2019/8/2207
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