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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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

Topics: Artificial neural networks, Bearings, Optimization, Temperature, Journal bearings, Stress, Probes

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

Publisher: ASME

J. Eng. Gas Turbines Power.

Paper No: GTP-23-1427

https://doi.org/10.1115/1.4063788

Published Online: October 18, 2023

View Article titled, Spatially Resolved Modeling of the Nonlinear Dynamics of a Laminar Premixed Flame with a Multilayer Perceptron - Convolution Autoencoder Network

Topics: Flames, Modeling, Multilayer perceptron, Nonlinear dynamics, Acoustics, Computer-aided engineering, Computational fluid dynamics, Dynamics (Mechanics), Heat, Shapes

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, Nikpey Homam, Ward De Paepe

Publisher: ASME

J. Eng. Gas Turbines Power.

Paper No: GTP-23-1261

https://doi.org/10.1115/1.4063785

Published Online: October 18, 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

Topics: Artificial neural networks, Condition monitoring, Cycles, Micro gas turbines, Maintenance, Distributed power generation, Momentum, Monitoring systems, Reliability, Turbines

Journal Articles

Flight-Path Optimization for a Hybrid-Electric Aircraft

Konstantinos I. Papadopoulos, Christos P. Nasoulis, Vasilis Gkoutzamanis, Anestis I. Kalfas

Publisher: ASME

J. Eng. Gas Turbines Power.

Paper No: GTP-23-1491

https://doi.org/10.1115/1.4063707

Published Online: October 10, 2023

View Article titled, Flight-Path Optimization for a Hybrid-Electric Aircraft

Topics: Aircraft, Flight, Optimization, Energy consumption, Propulsion systems, Artificial neural networks, Design, Modeling, Optimization algorithms, Trajectories (Physics)

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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

Topics: Artificial neural networks, Filtration, Noise (Sound), Signals, Aircraft engines, Engines, Flight, Time series

Journal Articles

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini

Publisher: ASME

J. Eng. Gas Turbines Power. March 2023, 145(3): 031023.

Paper No: GTP-22-1318

https://doi.org/10.1115/1.4055904

Published Online: December 8, 2022

View Article titled, Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

Topics: Artificial neural networks, Gas turbines, Probability, Reliability

Journal Articles

A Gray Target Calculation–Cloud Gravity Center Health Assessment Method for Gas Turbine Engine

Ran Ao, Yunpeng Cao, Junqi Luan, Xiaoyu Han, Shuying Li, Li Yan

Publisher: ASME

J. Eng. Gas Turbines Power. April 2023, 145(4): 041005.

Paper No: GTP-22-1423

https://doi.org/10.1115/1.4055981

Published Online: December 8, 2022

View Article titled, A Gray Target Calculation–Cloud Gravity Center Health Assessment Method for Gas Turbine Engine

Topics: Engines, Entropy, Gas turbines, Gravity (Force), Optimization, Sensors, Service life (Equipment), Weight (Mass), Signal to noise ratio, Algorithms

Journal Articles

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini

Publisher: ASME

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

Paper No: GTP-22-1319

https://doi.org/10.1115/1.4055905

Published Online: November 28, 2022

View Article titled, Ensemble Learning Approach to the Prediction of Gas Turbine Trip

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

Journal Articles

An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors

Junying Wang, Xinqian Zheng, Heli Yang, Zhenzhong Sun, Zhaoyun Song, Yu Fu

Publisher: ASME

J. Eng. Gas Turbines Power. February 2023, 145(2): 021002.

Paper No: GTP-22-1122

https://doi.org/10.1115/1.4056017

Published Online: November 28, 2022

View Article titled, An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors

Topics: Artificial neural networks, Compressors, Feature selection, Flow (Dynamics), Uncertainty, Uncertainty quantification, Construction

Journal Articles

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

Giuseppe Bruni, Senthil Krishnababu, Simon Jackson

Publisher: ASME

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

Paper No: GTP-22-1341

https://doi.org/10.1115/1.4055634

Published Online: October 21, 2022

View Article titled, Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

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

Journal Articles

Gas Turbine Combustion Optimization Using Neural Network Model and Wavelet Analysis

Keyu Jia, Suhui Li

Publisher: ASME

J. Eng. Gas Turbines Power. August 2022, 144(8): 081003.

Paper No: GTP-21-1599

https://doi.org/10.1115/1.4054524

Published Online: June 2, 2022

View Article titled, Gas Turbine Combustion Optimization Using Neural Network Model and Wavelet Analysis

Topics: Artificial neural networks, Combustion, Combustion chambers, Emissions, Gas turbines, Nitrogen oxides, Optimization, Pressure, Wavelets, Signals

Journal Articles

Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks

Sean T. Kelly, Andrea Lupini, Bogdan I. Epureanu

Publisher: ASME

J. Eng. Gas Turbines Power. May 2022, 144(5): 051006.

Paper No: GTP-21-1431

https://doi.org/10.1115/1.4052503

Published Online: February 21, 2022

View Article titled, Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks

Topics: Blades, Excitation, Noise (Sound), Artificial neural networks

Journal Articles

Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor

Junying Wang, Xiao He, Baotong Wang, Xinqian Zheng

Publisher: ASME

J. Eng. Gas Turbines Power. April 2022, 144(4): 041015.

Paper No: GTP-21-1486

https://doi.org/10.1115/1.4053322

Published Online: February 10, 2022

View Article titled, Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor

Topics: Artificial neural networks, Blades, Compressors, Computational fluid dynamics, Databases, Design, Flow (Dynamics), Optimization, Rotors, Data mining

Journal Articles

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Michael McCartney, Ushnish Sengupta, Matthew Juniper

Publisher: ASME

J. Eng. Gas Turbines Power. January 2022, 144(1): 011012.

Paper No: GTP-21-1377

https://doi.org/10.1115/1.4052145

Published Online: October 13, 2021

View Article titled, Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Topics: Artificial neural networks, Combustion, Combustion chambers, Combustion systems, Engineering prototypes, Errors, Pressure, Probability, Signals, Uncertainty

Journal citation

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Manuscript

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

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

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

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

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

Flight-Path Optimization for a Hybrid-Electric Aircraft

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

Accelerating Chemical Kinetics Calculations With Physics Informed Neural Networks

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

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

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

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

A Gray Target Calculation–Cloud Gravity Center Health Assessment Method for Gas Turbine Engine

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

An Efficient Quantification Method Based on Feature Selection for High-Dimensional Uncertainties of Multistage Compressors

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

Gas Turbine Combustion Optimization Using Neural Network Model and Wavelet Analysis

Data-Driven Approach for Identifying Mistuning in As-Manufactured Blisks

Shapley Additive Explanations of Multigeometrical Variable Coupling Effect in Transonic Compressor

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

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