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Journal Articles

Gas Turbine Combustion Optimization Using Neural Network Model and Wavelet Analysis

Keyu Jia, Suhui Li

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

Paper No: GTP-21-1599

DOI: https://doi.org/10.1115/1.4054524

Published Online: June 2, 2022

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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

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

Paper No: GTP-21-1431

DOI: https://doi.org/10.1115/1.4052503

Published Online: February 21, 2022

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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

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

Paper No: GTP-21-1486

DOI: https://doi.org/10.1115/1.4053322

Published Online: February 10, 2022

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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

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

Paper No: GTP-21-1377

DOI: https://doi.org/10.1115/1.4052145

Published Online: October 13, 2021

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

Journal Articles

An Ensemble of Recurrent Neural Networks for Real Time Performance Modeling of Three-Spool Aero-Derivative Gas Turbine Engine

Ibrahem M. A. Ibrahem, Ouassima Akhrif, Hany Moustapha, Martin Staniszewski

J. Eng. Gas Turbines Power. October 2021, 143(10): 101004.

Paper No: GTP-20-1645

DOI: https://doi.org/10.1115/1.4051112

Published Online: July 14, 2021

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Topics: Artificial neural networks, Engines, Gas turbines, Modeling, Testing, Delays, Algorithms

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

Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning

G. Chaussonnet, S. Gepperth, S. Holz, R. Koch, H.-J. Bauer

J. Eng. Gas Turbines Power. July 2021, 143(7): 071006.

Paper No: GTP-20-1754

DOI: https://doi.org/10.1115/1.4049911

Published Online: March 29, 2021

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Topics: Artificial neural networks, Drops, Errors, Surface mount devices, Databases, Sprays, Shapes, Architecture, Deformation

Journal Articles

Neural Network Prediction of Boundary Layer Flashback

Scott B. Leask, Vincent G. McDonell, Scott Samuelsen

J. Eng. Gas Turbines Power. May 2021, 143(5): 054501.

Paper No: GTP-20-1299

DOI: https://doi.org/10.1115/1.4049987

Published Online: March 11, 2021

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Topics: Artificial neural networks, Boundary layers, Temperature, Flames, Fuels

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

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Gino Angelini

J. Eng. Gas Turbines Power. December 2020, 142(12): 121011.

Paper No: GTP-20-1311

DOI: https://doi.org/10.1115/1.4048568

Published Online: December 1, 2020

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Topics: Airfoils, Algorithms, Artificial neural networks, Turbulence, Cascades (Fluid dynamics), Simulation, Compressors

Journal Articles

Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans

Till M. Biedermann, M. Reich, C. O. Paschereit

J. Eng. Gas Turbines Power. November 2020, 142(11): 111009.

Paper No: GTP-20-1406

DOI: https://doi.org/10.1115/1.4048599

Published Online: October 26, 2020

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Topics: Acoustics, Artificial neural networks, Blades, Design, Fans, Flow (Dynamics), Modeling, Noise control, Optimization, Pareto optimization

Journal Articles

A Model-Guided Neural Network for the Prediction of Creep Behavior Under in-Service Conditions

Hui Hong, Zhenwei Cai, Han Wang, Weizhe Wang, Yingzheng Liu

J. Eng. Gas Turbines Power. July 2020, 142(7): 071008.

Paper No: GTP-20-1053

DOI: https://doi.org/10.1115/1.4047281

Published Online: June 30, 2020

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Topics: Artificial neural networks, Creep, Physics, Stress

Journal Articles

Implementation of Optimized Artificial Neural Networks for Real-Time Estimation of Low Pressure Cooled Exhaust Gas Recirculation in a Turbocharged Gasoline Direct Injection Engine Using a Model-Based Design Approach

Yuhyeok Jo, Kyunghan Min, Myoungho Sunwoo, Manbae Han

J. Eng. Gas Turbines Power. June 2020, 142(6): 061004.

Paper No: GTP-19-1700

DOI: https://doi.org/10.1115/1.4047125

Published Online: May 28, 2020

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Topics: Artificial neural networks, Combustion, Cylinders, Design, Engines, Exhaust gas recirculation, Pressure, Optimization

Journal Articles

A Multidimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence-Based Meta-Models

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi

J. Eng. Gas Turbines Power. November 2019, 141(11): 111012.

Paper No: GTP-19-1439

DOI: https://doi.org/10.1115/1.4044935

Published Online: October 16, 2019

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Topics: Axial flow, Blades, Cascades (Fluid dynamics), Design, Principal component analysis, Turbomachinery, Fans, Flow (Dynamics), Artificial neural networks, Chords (Trusses)

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 Articles

Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks

Pan Zhang, Wenzhi Gao, Qixin Song, Yong Li, Lifeng Wei, Ziqing Wei

J. Eng. Gas Turbines Power. June 2019, 141(6): 061008.

Paper No: GTP-18-1242

DOI: https://doi.org/10.1115/1.4041962

Published Online: January 10, 2019

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Topics: Artificial neural networks, Cylinders, Engines, Feature extraction, Pattern recognition, Stress, Internal combustion engines, Multilayer perceptron

Journal Articles

Evaluation of Aircraft Engine Gas Path Diagnostic Methods Through ProDiMES

Anastasios O. Koskoletos, Nikolaos Aretakis, Alexios Alexiou, Christoforos Romesis, Konstantinos Mathioudakis

J. Eng. Gas Turbines Power. December 2018, 140(12): 121016.

Paper No: GTP-18-1288

DOI: https://doi.org/10.1115/1.4040909

Published Online: November 29, 2018

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Topics: Aircraft engines, Algorithms, Engines, Flaw detection, Propulsion, Sensors, Actuators, Artificial neural networks, Flight

Journal Articles

Real-Time Variable Geometry Triaxial Gas Turbine Model for Hardware-in-the-Loop Simulation Experiments

Tao Wang, Yong-Sheng Tian, Zhao Yin, Da-Yue Zhang, Ming-Ze Ma, Qing Gao, Chun-Qing Tan

J. Eng. Gas Turbines Power. September 2018, 140(9): 092603.

Paper No: GTP-17-1477

DOI: https://doi.org/10.1115/1.4038992

Published Online: May 24, 2018

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Topics: Gas turbines, Hardware, Simulation experiments, Turbines, Artificial neural networks, Pressure, Modeling, Simulation

Journal Articles

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Hilal Bahlawan, Mirko Morini, Michele Pinelli, Pier Ruggero Spina, Mauro Venturini

J. Eng. Gas Turbines Power. July 2018, 140(7): 071202.

Paper No: GTP-17-1621

DOI: https://doi.org/10.1115/1.4038838

Published Online: April 23, 2018

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Topics: Gas turbines, Testing, Artificial neural networks, Sensitivity analysis, Errors

Journal Articles

Multidisciplinary Design and Optimizations of Swept and Leaned Transonic Rotor

Seyed Reza Razavi, Shervin Sammak, Masoud Boroomand

J. Eng. Gas Turbines Power. December 2017, 139(12): 122601.

Paper No: GTP-17-1155

DOI: https://doi.org/10.1115/1.4037456

Published Online: August 23, 2017

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Topics: Blades, Flow (Dynamics), Optimization, Pressure, Rotors, Artificial neural networks, Design

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Journal citation

NARROW

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

An Ensemble of Recurrent Neural Networks for Real Time Performance Modeling of Three-Spool Aero-Derivative Gas Turbine Engine

Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise

Best Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning

Neural Network Prediction of Boundary Layer Flashback

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

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans

A Model-Guided Neural Network for the Prediction of Creep Behavior Under in-Service Conditions

Implementation of Optimized Artificial Neural Networks for Real-Time Estimation of Low Pressure Cooled Exhaust Gas Recirculation in a Turbocharged Gasoline Direct Injection Engine Using a Model-Based Design Approach

A Multidimensional Extension of Balje Chart for Axial Flow Turbomachinery Using Artificial Intelligence-Based Meta-Models

Diesel Engine Acoustic Emission Airflow Clogging Diagnostics With Machine Learning

Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks

Evaluation of Aircraft Engine Gas Path Diagnostic Methods Through ProDiMES

Real-Time Variable Geometry Triaxial Gas Turbine Model for Hardware-in-the-Loop Simulation Experiments

Development of Reliable NARX Models of Gas Turbine Cold, Warm, and Hot Start-Up

Multidisciplinary Design and Optimizations of Swept and Leaned Transonic Rotor

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