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Journal Articles

Statistical Rule Extraction for Gas Turbine Trip Prediction

Giovanni Bechini, Enzo Losi, Lucrezia Manservigi, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan, Mauro Venturini

J. Eng. Gas Turbines Power. May 2023, 145(5): 051017.

Paper No: GTP-22-1408

DOI: https://doi.org/10.1115/1.4056287

Published Online: January 10, 2023

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Topics: Gas turbines, Statistical analysis, Turbines, Machine learning, Time series

Journal Articles

Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification

Sudeepta Mondal, Gina M. Magnotti, Bethany Lusch, Romit Maulik, Roberto Torelli

J. Eng. Gas Turbines Power. April 2023, 145(4): 041015.

Paper No: GTP-22-1451

DOI: https://doi.org/10.1115/1.4055777

Published Online: December 13, 2022

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Topics: Design, Ejectors, Needles, Porosity, Simulation, Transients (Dynamics), Uncertainty, Uncertainty quantification, Spatiotemporal phenomena, Internal flow

Journal Articles

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong

J. Eng. Gas Turbines Power. March 2023, 145(3): 031020.

Paper No: GTP-22-1291

DOI: https://doi.org/10.1115/1.4055417

Published Online: December 8, 2022

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Topics: Algorithms, Blades, Flow (Dynamics), Machine learning, Noise (Sound), Simulation, Optimization, Pressure, Turbulence, Computation

Journal Articles

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini

J. Eng. Gas Turbines Power. February 2023, 145(2): 021009.

Paper No: GTP-22-1319

DOI: https://doi.org/10.1115/1.4055905

Published Online: November 28, 2022

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Topics: Gas turbines, Machine learning, Reliability, Support vector machines, Artificial neural networks, Testing, Algorithms, Probability

Journal Articles

Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

Giuseppe Bruni, Senthil Krishnababu, Simon Jackson

J. Eng. Gas Turbines Power. January 2023, 145(1): 011019.

Paper No: GTP-22-1341

DOI: https://doi.org/10.1115/1.4055634

Published Online: October 21, 2022

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Topics: Artificial neural networks, Blades, Compressors, Computational fluid dynamics, Damping, Design, Machine learning, Mode shapes, Resonance, Modal analysis

Journal Articles

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

J. Eng. Gas Turbines Power. March 2022, 144(3): 031025.

Paper No: GTP-21-1324

DOI: https://doi.org/10.1115/1.4053194

Published Online: January 21, 2022

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Topics: Gas turbines, Reliability, Machine learning, Time series, Temperature, Compressors, Image segmentation, Natural, scientific and engineering processes and practices, Sensors, Thermocouples

Journal Articles

Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise

Ushnish Sengupta, Carl E. Rasmussen, Matthew P. Juniper

J. Eng. Gas Turbines Power. July 2021, 143(7): 071001.

Paper No: GTP-20-1599

DOI: https://doi.org/10.1115/1.4049762

Published Online: March 29, 2021

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Topics: Acoustics, Artificial neural networks, Combustion, Combustion chambers, Machine learning, Noise (Sound), Turbulence

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

J. Eng. Gas Turbines Power. March 2021, 143(3): 031021.

Paper No: GTP-20-1699

DOI: https://doi.org/10.1115/1.4050020

Published Online: February 24, 2021

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Topics: Artificial neural networks, Combustion, Combustion chambers, Emissions, Fuels, Gas turbines, Nitrogen oxides, Optimization, Machine learning, Stress

Journal Articles

Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning

Zheyuan Zhang, Tianyuan Liu, Di Zhang, Yonghui Xie

J. Eng. Gas Turbines Power. March 2021, 143(3): 031009.

Paper No: GTP-20-1628

DOI: https://doi.org/10.1115/1.4049768

Published Online: February 8, 2021

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Topics: Blades, Drops, Erosion, Machine learning, Steam turbines, Water, Service life (Equipment), Testing, Turbine blades, Data acquisition

Journal Articles

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Michael McCartney, Matthias Haeringer, Wolfgang Polifke

J. Eng. Gas Turbines Power. June 2020, 142(6): 061009.

Paper No: GTP-19-1608

DOI: https://doi.org/10.1115/1.4045516

Published Online: May 29, 2020

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Topics: Algorithms, Errors, Interpolation, Machine learning, Flames, Splines, Limit cycles

Journal Articles

Using Machine Learning to Predict Core Sizes of High-Efficiency Turbofan Engines

Michael T. Tong

J. Eng. Gas Turbines Power. November 2019, 141(11): 111023.

Paper No: GTP-19-1338

DOI: https://doi.org/10.1115/1.4044770

Published Online: October 23, 2019

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Topics: Algorithms, Engines, Machine learning, Turbofans, Databases

Journal Articles

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

Daniel M. Probst, Mandhapati Raju, Peter K. Senecal, Janardhan Kodavasal, Pinaki Pal, Sibendu Som, Ahmed A. Moiz, Yuanjiang Pei

J. Eng. Gas Turbines Power. September 2019, 141(9): 091011.

Paper No: GTP-19-1208

DOI: https://doi.org/10.1115/1.4043964

Published Online: June 20, 2019

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Topics: Algorithms, Engines, Optimization, Simulation, Machine learning

Journal Articles

Diesel Engine Acoustic Emission Airflow Clogging Diagnostics With Machine Learning

Jim Cowart, Patrick Moore, Harrison Yosten, Leonard Hamilton, Dianne Luning Prak

J. Eng. Gas Turbines Power. July 2019, 141(7): 071021.

Paper No: GTP-19-1119

DOI: https://doi.org/10.1115/1.4043332

Published Online: April 15, 2019

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Topics: Acoustic emissions, Acoustics, Air flow, Artificial neural networks, Combustion, Diesel engines, Engines, Machine learning, Microphones, Laptop computers

Journal citation

NARROW

Statistical Rule Extraction for Gas Turbine Trip Prediction

Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models

Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise

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

Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Using Machine Learning to Predict Core Sizes of High-Efficiency Turbofan Engines

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

Diesel Engine Acoustic Emission Airflow Clogging Diagnostics With Machine Learning

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