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Journal Articles

Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation

Enzo Losi, Lucrezia Manservigi, Pier Ruggero Spina, Mauro Venturini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2025, 147(3): 031006.
Paper No: GTP-24-1503
https://doi.org/10.1115/1.4066360
Published Online: October 3, 2024
View Article titled, Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
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Topics: Compressors, Errors, Gas turbines, Generative adversarial networks, Generators, Reliability, Trains, Artificial neural networks
Journal Articles

Vaneless Diffuser Modelling for Real Gas Supercritical Carbon Dioxide Flows- Need for a Data Driven Approach

Accepted Manuscript
Lakshminarayanan Seshadri, Pramod Kumar
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power.
Paper No: GTP-24-1602
https://doi.org/10.1115/1.4066709
Published Online: September 28, 2024
View Article titled, Vaneless Diffuser Modelling for Real Gas Supercritical Carbon Dioxide Flows- Need for a Data Driven Approach
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Topics: Flow (Dynamics), Modeling, Supercritical carbon dioxide, Vaneless diffusers, Artificial neural networks, Computational fluid dynamics, Skin friction (Fluid dynamics), Compressors, Differential equations, Friction
Journal Articles

Creep Lifetime Prediction of Alloy 617 using Black Box Machine Learning Approach

Accepted Manuscript
Md Abir Hossain, Calvin M. Stewart
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power.
Paper No: GTP-24-1545
https://doi.org/10.1115/1.4066600
Published Online: September 23, 2024
View Article titled, Creep Lifetime Prediction of Alloy 617 using Black Box Machine Learning Approach
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Topics: Alloys, Creep, Machine learning, Algorithms, Chemistry, Heat, Rupture, Artificial neural networks, Mechanical properties, Solid solutions
Journal Articles

Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks

Patrick Krueger, Hanno Gottschalk, Bastian Werdelmann, Werner Krebs
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. January 2025, 147(1): 011007.
Paper No: GTP-24-1269
https://doi.org/10.1115/1.4066294
Published Online: September 13, 2024
View Article titled, Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
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Topics: Artificial neural networks, Combustion chambers, Design, Flow (Dynamics), Gas turbines, Generative design, Simulation, Computational fluid dynamics, Fuels
Journal Articles

On the Potential of Biomass-Fueled Externally Fired Micro-Gas Turbines in the Energy Transition: Off-Design Performance Analysis

Konstantinos Bollas, Reyhaneh Banihabib, Mohsen Assadi, Anestis Kalfas
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2024, 146(11): 111009.
Paper No: GTP-24-1065
https://doi.org/10.1115/1.4065884
Published Online: July 20, 2024
View Article titled, On the Potential of Biomass-Fueled Externally Fired Micro-Gas Turbines in the Energy Transition: Off-Design Performance Analysis
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Topics: Biomass, Design, Flow (Dynamics), Fuels, Stress, Temperature, Turbines, Pressure, Electricity (Physics), Artificial neural networks
Journal Articles

A New Global Gas Dynamics Performance Optimization Method for Refrigeration Centrifugal Compressor Stage Based on the Immune Algorithm

Lu Liang, Wuqi Gong, Yitong Liu, Fang Wang
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. August 2024, 146(8): 081022.
Paper No: GTP-23-1535
https://doi.org/10.1115/1.4064976
Published Online: April 4, 2024
View Article titled, A New Global Gas Dynamics Performance Optimization Method for Refrigeration Centrifugal Compressor Stage Based on the Immune Algorithm
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Topics: Algorithms, Compressors, Design, Gasdynamics, Impellers, Optimization, Topology, Flow (Dynamics), Artificial neural networks, Blades
Journal Articles

Tuning of Generalized K-Omega Turbulence Model by Using Adjoint Optimization and Machine Learning for Gas Turbine Combustor Applications

George Klavaris, Min Xu, Chris Hill, Florian Menter, Saurabh Patwardhan, Ishan Verma
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. August 2024, 146(8): 081014.
Paper No: GTP-23-1619
https://doi.org/10.1115/1.4064367
Published Online: February 26, 2024
View Article titled, Tuning of Generalized K-Omega Turbulence Model by Using Adjoint Optimization and Machine Learning for Gas Turbine Combustor Applications
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Topics: Artificial neural networks, Flow (Dynamics), Gas turbines, Machine learning, Modeling, Optimization, Turbulence, Combustion chambers, Reynolds-averaged Navier–Stokes equations, Reynolds number
Journal Articles

Flight-Path Optimization for a Hybrid-Electric Aircraft

Konstantinos I. Papadopoulos, Christos P. Nasoulis, Vasilis G. Gkoutzamanis, Anestis I. Kalfas
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. July 2024, 146(7): 070902.
Paper No: GTP-23-1491
https://doi.org/10.1115/1.4063707
Published Online: February 5, 2024
View Article titled, Flight-Path Optimization for a Hybrid-Electric Aircraft
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Topics: Flight, Optimization, Aircraft, Artificial neural networks
Journal Articles

Development of an Artificial Intelligence Model to Predict Combustion Properties, With a Focus on Auto-Ignition Delay

Roda Bounaceur, Romain Heymes, Pierre-Alexandre Glaude, Baptiste Sirjean, René Fournet, Pierre Montagne, Alexandre Auvray, Eric Impellizzeri, Pierre Biehler, Alexandre Picard, Bastien Prieur-Garrouste, Michel Molière
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. June 2024, 146(6): 061011.
Paper No: GTP-23-1436
https://doi.org/10.1115/1.4063774
Published Online: January 4, 2024
View Article titled, Development of an Artificial Intelligence Model to Predict Combustion Properties, With a Focus on Auto-Ignition Delay
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Topics: Algorithms, Artificial intelligence, Artificial neural networks, Combustion, Delays, Ignition, Ignition delay, Natural gas, Pressure, Robustness
Journal Articles

Spatially Resolved Modeling of the Nonlinear Dynamics of a Laminar Premixed Flame With a Multilayer Perceptron—Convolution Autoencoder Network

Marcin Rywik, Axel Zimmermann, Alexander J. Eder, Edoardo Scoletta, Wolfgang Polifke
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. June 2024, 146(6): 061009.
Paper No: GTP-23-1427
https://doi.org/10.1115/1.4063788
Published Online: January 4, 2024
View Article titled, Spatially Resolved Modeling of the Nonlinear Dynamics of a Laminar Premixed Flame With a Multilayer Perceptron—Convolution Autoencoder Network
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Topics: Computer-aided engineering, Flames, Modeling, Multilayer perceptron, Signals, Heat, Shapes, Artificial neural networks, Dynamics (Mechanics)
Journal Articles

The Application of an Artificial Neural Network as a Baseline Model for Condition Monitoring of Innovative Humidified Micro Gas Turbine Cycles

Kathryn Colquhoun, Homam Nikpey Somehsaraei, Ward De Paepe
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051017.
Paper No: GTP-23-1261
https://doi.org/10.1115/1.4063785
Published Online: December 26, 2023
View Article titled, The Application of an Artificial Neural Network as a Baseline Model for Condition Monitoring of Innovative Humidified Micro Gas Turbine Cycles
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Topics: Artificial neural networks, Cycles, Micro gas turbines, Condition monitoring, Compressors, Turbines
Journal Articles

Methodology to Monitor Early Warnings Before Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051005.
Paper No: GTP-23-1524
https://doi.org/10.1115/1.4063720
Published Online: December 8, 2023
View Article titled, Methodology to Monitor Early Warnings Before Gas Turbine Trip
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Topics: Gas turbines, Reliability, Probability, Testing, Artificial neural networks
Journal Articles

The Hybrid Pathway to Flexible Power Turbines, Part I: Novel Autoencoder Methods for the Automated Optimization of Thermal Probes and Fast Sparse Data Reconstruction, Enabling Real-Time Thermal Analysis

Mark Baker, Budimir Rosic
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2024, 146(3): 031020.
Paper No: GTP-23-1391
https://doi.org/10.1115/1.4063581
Published Online: December 1, 2023
View Article titled, The Hybrid Pathway to Flexible Power Turbines, Part I: Novel Autoencoder Methods for the Automated Optimization of Thermal Probes and Fast Sparse Data Reconstruction, Enabling Real-Time Thermal Analysis
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Topics: Artificial neural networks, Optimization, Probes, Temperature, Turbines, Transients (Dynamics), Simulation, Heat transfer
Journal Articles

GLDAN: Global and Local Domain Adaptation Network for Cross-Wind Turbine Fault Diagnosis

Dandan Peng, Wim Desmet, Konstantinos Gryllias
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2024, 146(3): 031009.
Paper No: GTP-23-1254
https://doi.org/10.1115/1.4063578
Published Online: November 6, 2023
View Article titled, GLDAN: Global and Local Domain Adaptation Network for Cross-Wind Turbine Fault Diagnosis
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Topics: Fault diagnosis, Turbines, Wind, Wind turbines, Artificial neural networks
Journal Articles

Machine Learning-Based Optimizer for Tilting Pad Journal Bearing Inlet Flowrate

Edoardo Gheller, Steven Chatterton, Daniele Panara, Gabriele Turini, Paolo Pennacchi
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. December 2023, 145(12): 121017.
Paper No: GTP-23-1323
https://doi.org/10.1115/1.4063532
Published Online: October 26, 2023
View Article titled, Machine Learning-Based Optimizer for Tilting Pad Journal Bearing Inlet Flowrate
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Topics: Artificial neural networks, Bearings, Optimization, Temperature, Journal bearings, Stress, Probes
Journal Articles

Multi-Objective Surrogate-Based Optimization Method for the Scaling of Combustion Chambers

B. Lambert, G. Eckel, P. Le Clercq, M. Zahn, T. Ripplinger
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. October 2023, 145(10): 101009.
Paper No: GTP-23-1049
https://doi.org/10.1115/1.4063087
Published Online: September 7, 2023
View Article titled, Multi-Objective Surrogate-Based Optimization Method for the Scaling of Combustion Chambers
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Topics: Artificial neural networks, Combustion chambers, Design, Flow (Dynamics), Optimization, Errors, Simulation
Journal Articles

Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks

Ahmed Almeldein, Noah Van Dam
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2023, 145(9): 091008.
Paper No: GTP-23-1113
https://doi.org/10.1115/1.4062654
Published Online: July 27, 2023
View Article titled, Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks
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Topics: Artificial neural networks, Chemical kinetics, Combustion, Errors, Physics, Simulation, Temperature, Methane, Graphics processing units
Journal Articles

Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description

Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2023, 145(9): 091009.
Paper No: GTP-23-1186
https://doi.org/10.1115/1.4062768
Published Online: July 27, 2023
View Article titled, Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description
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Topics: Condition monitoring, Wind turbines, Artificial neural networks
Journal Articles

Evaluating the Operating Parameters of a Compression Ignition Engine Fueled With Waste Cooking Oil—Diesel Blends Using Artificial Neural Network and Ensemble Methods

Shubham M. More, Jyotirmoy Kakati, Ujjwal K. Saha
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. July 2023, 145(7): 071010.
Paper No: GTP-23-1007
https://doi.org/10.1115/1.4062411
Published Online: May 25, 2023
View Article titled, Evaluating the Operating Parameters of a Compression Ignition Engine Fueled With Waste Cooking Oil—Diesel Blends Using Artificial Neural Network and Ensemble Methods
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Topics: Artificial neural networks, Combustion, Diesel, Diesel engines, Emissions, Engines, Fuels, Modeling, Testing
Journal Articles

Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering

Junjie Zhao, Yi-Guang Li, Suresh Sampath
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. June 2023, 145(6): 061013.
Paper No: GTP-22-1234
https://doi.org/10.1115/1.4056128
Published Online: February 6, 2023
View Article titled, Convolutional Neural Network Denoising Auto-Encoders for Intelligent Aircraft Engine Gas Path Health Signal Noise Filtering
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Topics: Artificial neural networks, Filtration, Noise (Sound), Signals, Aircraft engines, Engines, Flight, Time series