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Harry Bonilla-Alvarado
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Proceedings Papers

Application of Closed-Loop Output Error System Identification to an SOFC Gas Turbine Hybrid Using a Cyber-Physical Approach

Mychal Amoafo, Nana Zhou, Harry Bonilla-Alvarado, David Tucker
Proc. ASME. GT2023, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A030, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-104190
https://doi.org/10.1115/GT2023-104190
View Paper titled, Application of Closed-Loop Output Error System Identification to an SOFC Gas Turbine Hybrid Using a Cyber-Physical Approach
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Topics: Adaptive control, Cycles, Errors, Gas turbines, Solid oxide fuel cells, System identification, Transfer functions
Proceedings Papers

Hyper-Parameter Optimization of Deep Learning Models for Compressor Air Leak Prediction in a Gas Turbine

Diego I. Nogueras-Rivera, Lemuel Mojica-Vazquez, Harry Bonilla-Alvarado, Kenneth M. Bryden, David Tucker, Luis M. Traverso-Avilés, Diego A. Aponte-Roa
Proc. ASME. POWER2022, ASME 2022 Power Conference, V001T04A002, July 18–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: POWER2022-85800
https://doi.org/10.1115/POWER2022-85800
View Paper titled, Hyper-Parameter Optimization of Deep Learning Models for Compressor Air Leak Prediction in a Gas Turbine
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Topics: Compressors, Failure, Gas turbines, Leakage, Optimization, Time series
Proceedings Papers

Online Adaptive Control Tuning in a Gas Turbine Hybrid System

Harry Bonilla-Alvarado, Bernardo Restrepo, Paolo Pezzini, Lawrence Shadle, David Tucker, Kenneth Mark Bryden
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T06A007, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16534
https://doi.org/10.1115/POWER2020-16534
View Paper titled, Online Adaptive Control Tuning in a Gas Turbine Hybrid System
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Topics: Adaptive control, Control equipment, Gas turbines
Proceedings Papers

Modeling and Control of Subcritical Coal-Fired Power Plant Components for Fault Detection

Selorme Agbleze, Fernando V. Lima, Natarianto Indrawan, Rupendranath Panday, Paolo Pezzini, Harry Bonilla-Alvarado, Kenneth M. Bryden, David Tucker, Lawrence J. Shadle
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T12A002, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16571
https://doi.org/10.1115/POWER2020-16571
View Paper titled, Modeling and Control of Subcritical Coal-Fired Power Plant Components for Fault Detection
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Topics: Algorithms, Boilers, Coal, Control modeling, Flaw detection, Leakage, Power stations, Steam, Dynamics (Mechanics), Stress
Proceedings Papers

Using Machine Learning to Increase Model Performance for a Gas Turbine System

Samuel M. Hipple, Zachary T. Reinhart, Harry Bonilla-Alvarado, Paolo Pezzini, Kenneth Mark Bryden
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T12A003, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16580
https://doi.org/10.1115/POWER2020-16580
View Paper titled, Using Machine Learning to Increase Model Performance for a Gas Turbine System
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Topics: Artificial neural networks, Gas turbines, Machine learning, Modeling, Turbomachinery
Journal Articles

Using Machine Learning Tools to Predict Compressor Stall

Samuel M. Hipple, Harry Bonilla-Alvarado, Paolo Pezzini, Lawrence Shadle, Kenneth M. Bryden
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. July 2020, 142(7): 070915.
Paper No: JERT-19-1798
https://doi.org/10.1115/1.4046458
Published Online: April 8, 2020
View Article titled, Using Machine Learning Tools to Predict Compressor Stall
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Topics: Compressors, Machine learning, Surges, Turbines, Turbomachinery, Stall inception, Regression models, Gas turbines, Artificial neural networks
Journal Articles

Development of Real-Time System Identification to Detect Abnormal Operations in a Gas Turbine Cycle

Harry Bonilla-Alvarado, Kenneth M. Bryden, Lawrence Shadle, David Tucker, Paolo Pezzini
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. July 2020, 142(7): 070903.
Paper No: JERT-19-1712
https://doi.org/10.1115/1.4046144
Published Online: February 28, 2020
View Article titled, Development of Real-Time System Identification to Detect Abnormal Operations in a Gas Turbine Cycle
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Topics: Algorithms, Fuels, Gas turbines, System identification, Transfer functions, Turbines, Valves, Electric load, Leakage, Parameter estimation