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Journal Articles

Combustion Tuning for a Gas Turbine Power Plant Using Data-Driven and Machine Learning Approach

Suhui Li, Huaxin Zhu, Min Zhu, Gang Zhao, Xiaofeng Wei
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2021, 143(3): 031021.
Paper No: GTP-20-1699
https://doi.org/10.1115/1.4050020
Published Online: February 24, 2021
View Article titled, Combustion Tuning for a Gas Turbine Power Plant Using Data-Driven and Machine Learning Approach
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Topics: Artificial neural networks, Combustion, Combustion chambers, Emissions, Fuels, Gas turbines, Nitrogen oxides, Optimization, Machine learning, Stress
Proceedings Papers

Combustion Tuning for a Gas Turbine Power Plant Using Data-Driven and Machine Learning Approach

Suhui Li, Huaxin Zhu, Min Zhu, Gang Zhao, Xiaofeng Wei
Proc. ASME. GT2020, Volume 6: Education; Electric Power, V006T09A009, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15788
https://doi.org/10.1115/GT2020-15788
View Paper titled, Combustion Tuning for a Gas Turbine Power Plant Using Data-Driven and Machine Learning Approach
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Topics: Combustion, Dynamics (Mechanics), Emissions, Gas turbines, Machine learning, Nitrogen oxides, Power stations
Journal Articles

Flow Characterization of Supersonic Jets Issuing From Double-Beveled Nozzles

Jie Wu, H. D. Lim, Xiaofeng Wei, T. H. New, Y. D. Cui
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. January 2019, 141(1): 011202.
Paper No: FE-17-1714
https://doi.org/10.1115/1.4040447
Published Online: June 27, 2018
View Article titled, Flow Characterization of Supersonic Jets Issuing From Double-Beveled Nozzles
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Topics: Flow (Dynamics), Jets, Nozzles, Mach number, Visualization, Shock (Mechanics)