Search Results | J. Eng. Gas Turbines Power

1-20 of 62

Sort by

Sort Order Select

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

J. Eng. Gas Turbines Power. July 2023, 145(7): 071010.

Paper No: GTP-23-1007

DOI: 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

J. Eng. Gas Turbines Power. June 2023, 145(6): 061013.

Paper No: GTP-22-1234

DOI: 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

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

Paper No: GTP-22-1318

DOI: 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

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

Paper No: GTP-22-1423

DOI: 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

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

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

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

Paper No: GTP-22-1122

DOI: 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

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

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

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

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

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

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

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

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

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

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 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

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

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

View Article titled, Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise

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

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

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

View Article titled, Neural Network Prediction of Boundary Layer Flashback

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

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

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

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

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

View Article titled, Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans

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

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

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

View Article titled, 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

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

Journal citation

NARROW

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

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

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only