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Proceedings Papers

Non-Axisymmetric Endwall Profiling of a Stator Row in the Presence of the Rotor in a High Pressure Turbine

Abdul Rehman, Bo Liu, Zhenzhe Na, Hao Cheng
Proc. ASME. GT2018, Volume 2B: Turbomachinery, V02BT41A017, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-76070
https://doi.org/10.1115/GT2018-76070
View Paper titled, Non-Axisymmetric Endwall Profiling of a Stator Row in the Presence of the Rotor in a High Pressure Turbine
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Topics: High pressure (Physics), Rotors, Stators, Turbines, Design, Flow (Dynamics), Optimization, Artificial neural networks, Axial flow, Computer software
Proceedings Papers

Aeroelastic Optimization of an Industrial Compressor Rotor Blade Geometry

Federico Vanti, Lorenzo Pinelli, Andrea Arnone, Andrea Schneider, Pio Astrua, Enrico Puppo
Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT46A016, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-76474
https://doi.org/10.1115/GT2018-76474
View Paper titled, Aeroelastic Optimization of an Industrial Compressor Rotor Blade Geometry
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Topics: Blades, Compressors, Geometry, Optimization, Rotors, Flutter (Aerodynamics), Artificial neural networks, Algorithms, Computational fluid dynamics, Databases
Proceedings Papers

Multi-Objective Optimization of Inclined Discrete Cavities in a Centrifugal Compressor Using Hybrid Optimization Techniques

Sang-Bum Ma, Kwang-Yong Kim
Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT46A011, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-76076
https://doi.org/10.1115/GT2018-76076
View Paper titled, Multi-Objective Optimization of Inclined Discrete Cavities in a Centrifugal Compressor Using Hybrid Optimization Techniques
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Topics: Cavities, Compressors, Optimization, Pareto optimization, Design, Artificial neural networks, Genetic algorithms, Impellers, Navier-Stokes equations, Particle swarm optimization
Proceedings Papers

A Two-Layer Multi-Model Gas Path Fault Diagnosis Method

Yunpeng Cao, Yinghui He, Fang Yu, Jianwei Du, Shuying Li, Qingcai Yang, Rui Liu
Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A009, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75368
https://doi.org/10.1115/GT2018-75368
View Paper titled, A Two-Layer Multi-Model Gas Path Fault Diagnosis Method
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Topics: Fault diagnosis, Flaw detection, Gas turbines, Algorithms, Simulation, Artificial neural networks, Probability, Statistics
Proceedings Papers

A Comparative Study of Data and Physically Based Gas Turbine Modeling for Long-Term Monitoring Scenarios: Part II — Emission Prediction Utilizing Different Levels of Design Information

Moritz Lipperheide, Thomas Bexten, Manfred Wirsum, Martin Gassner, Stefano Bernero
Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A024, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-76650
https://doi.org/10.1115/GT2018-76650
View Paper titled, A Comparative Study of Data and Physically Based Gas Turbine Modeling for Long-Term Monitoring Scenarios: Part II — Emission Prediction Utilizing Different Levels of Design Information
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Topics: Design, Emissions, Gas turbines, Modeling, Artificial neural networks, Engines, Computer software, Manufacturing, Model development, Nitrogen oxides
Proceedings Papers

Gas Turbine Bearing Wear Monitoring Method Based on Magnetic Plug Inductance Sensor

Yunpeng Cao, Rui Liu, Jianwei Du, Fang Yu, Qingcai Yang, Yinghui He, Shuying Li
Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A002, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75224
https://doi.org/10.1115/GT2018-75224
View Paper titled, Gas Turbine Bearing Wear Monitoring Method Based on Magnetic Plug Inductance Sensor
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Topics: Bearings, Gas turbines, Sensors, Wear, Lubricating oils, Signals, Wear testing, Artificial neural networks, Databases, Errors
Proceedings Papers

Improved Empirical Identification of the Inverse Model of a Squeeze-Film Damper Bearing Based on a Recurrent Neural Network

Ghaith Ghanim Al-Ghazal, Philip Bonello, Sergio G. Torres Cedillo
Proc. ASME. GT2018, Volume 7A: Structures and Dynamics, V07AT33A016, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75777
https://doi.org/10.1115/GT2018-75777
View Paper titled, Improved Empirical Identification of the Inverse Model of a Squeeze-Film Damper Bearing Based on a Recurrent Neural Network
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Topics: Artificial neural networks, Bearings, Dampers, Aircraft engines, Rotors, Vibration, Displacement, Excitation, Instrumentation, Inverse problems
Proceedings Papers

Steam Turbine Exhaust Optimization Based on Gaussian Covariance Networks Using Transient CFD Simulations

Kevin Cremanns, Dirk Roos, Andreas Penkner, Simon Hecker, Christian Musch
Proc. ASME. GT2018, Volume 8: Microturbines, Turbochargers, and Small Turbomachines; Steam Turbines, V008T29A007, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75261
https://doi.org/10.1115/GT2018-75261
View Paper titled, Steam Turbine Exhaust Optimization Based on Gaussian Covariance Networks Using Transient CFD Simulations
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Topics: Computational fluid dynamics, Exhaust systems, Optimization, Simulation, Steam turbines, Transients (Dynamics), Geometry, Pareto optimization, Artificial neural networks, Design
Proceedings Papers

A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow

Jack Weatheritt, Richard D. Sandberg, Julia Ling, Gonzalo Saez, Julien Bodart
Proc. ASME. GT2017, Volume 2B: Turbomachinery, V02BT41A012, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-63403
https://doi.org/10.1115/GT2017-63403
View Paper titled, A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow
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Topics: Jets, Machine learning, Modeling, Reynolds-averaged Navier–Stokes equations, Stress, Turbulence, Algebra, Artificial neural networks, Computer programming, Evolutionary algorithms
Proceedings Papers

The Effect of Manufacturing Variations on Unsteady Interaction in a Transonic Turbine

John P. Clark, Joseph A. Beck, Alex A. Kaszynski, Angela Still, Ron-Ho Ni
Proc. ASME. GT2017, Volume 2B: Turbomachinery, V02BT41A029, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-64075
https://doi.org/10.1115/GT2017-64075
View Paper titled, The Effect of Manufacturing Variations on Unsteady Interaction in a Transonic Turbine
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Topics: Manufacturing, Turbines, Computational fluid dynamics, Blades, Geometry, Turbine blades, Airfoils, Algorithms, Artificial neural networks, Casting
Proceedings Papers

A Fault Diagnosis Approach for Rolling Element Bearing Based on S-Transform and Artificial Neural Network

Ningbo Zhao, Hongtao Zheng, Lei Yang, Zhitao Wang
Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A003, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-63253
https://doi.org/10.1115/GT2017-63253
View Paper titled, A Fault Diagnosis Approach for Rolling Element Bearing Based on S-Transform and Artificial Neural Network
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Topics: Artificial neural networks, Fault diagnosis, Rolling bearings, Condition monitoring, Vibration, Feature extraction, Gas turbines, Pattern recognition, Rotors, Signals
Proceedings Papers

Gas Turbine Machinery Diagnostics: A Brief Review and a Sample Application

Cody W. Allen, Chad M. Holcomb, Mauricio de Oliveira
Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A028, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-64755
https://doi.org/10.1115/GT2017-64755
View Paper titled, Gas Turbine Machinery Diagnostics: A Brief Review and a Sample Application
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Topics: Gas turbines, Machinery, Algorithms, Machine learning, Engines, Turbines, Artificial neural networks, Computational methods, Engineering standards, Fuels
Proceedings Papers

A Thermodynamic Transient Model for Performance Analysis of a Twin Shaft Industrial Gas Turbine

Samuel Cruz-Manzo, Vili Panov, Yu Zhang, Anthony Latimer, Festus Agbonzikilo
Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A020, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-64376
https://doi.org/10.1115/GT2017-64376
View Paper titled, A Thermodynamic Transient Model for Performance Analysis of a Twin Shaft Industrial Gas Turbine
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Topics: Industrial gases, Transients (Dynamics), Turbines, Modeling, Artificial neural networks, Compressors, Gas turbines, Pressure, Steady state, Temperature
Proceedings Papers

Multi-Disciplinary Optimization of a Mixed-Flow Compressor Impeller

Olaf H. F. Diener, Sybrand J. van der Spuy, Theodor W. von Backström, Thomas Hildebrandt
Proc. ASME. GT2016, Volume 8: Microturbines, Turbochargers and Small Turbomachines; Steam Turbines, V008T23A021, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-57008
https://doi.org/10.1115/GT2016-57008
View Paper titled, Multi-Disciplinary Optimization of a Mixed-Flow Compressor Impeller
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Topics: Compressor impellers, Flow (Dynamics), Optimization, Design, Impellers, Stress, Artificial neural networks, Surges, Unmanned aerial vehicles, Compressors
Proceedings Papers

Analysis of a LPT Rotor Blade for a Geared Engine: Part I — Aero-Mechanical Design and Validation

Matteo Giovannini, Filippo Rubechini, Michele Marconcini, Andrea Arnone, Francesco Bertini
Proc. ASME. GT2016, Volume 2B: Turbomachinery, V02BT38A053, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-57746
https://doi.org/10.1115/GT2016-57746
View Paper titled, Analysis of a LPT Rotor Blade for a Geared Engine: Part I — Aero-Mechanical Design and Validation
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Topics: Blades, Design, Engines, Rotors, Artificial neural networks, Stress, Turbine blades, Turbines, Turbulence, Boundary-value problems
Proceedings Papers

Power Setting Sensor Fault Detection and Accommodation for Gas Turbine Engines Using Artificial Neural Networks

A. Courdier, Y. G. Li
Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A005, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-56304
https://doi.org/10.1115/GT2016-56304
View Paper titled, Power Setting Sensor Fault Detection and Accommodation for Gas Turbine Engines Using Artificial Neural Networks
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Topics: Artificial neural networks, Flaw detection, Gas turbines, Sensors, Engines, Control systems, Computer software, Condition monitoring, Failure, Industrial gases
Proceedings Papers

Rotating Machinery Monitoring and Fault Diagnosis With Neural Network Enhanced Fuzzy Logic Expert System

Xiaojun Li, Alan Palazzolo, Zhiyang Wang
Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A026, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-58102
https://doi.org/10.1115/GT2016-58102
View Paper titled, Rotating Machinery Monitoring and Fault Diagnosis With Neural Network Enhanced Fuzzy Logic Expert System
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Topics: Artificial neural networks, Expert systems, Fault diagnosis, Fuzzy logic, Machinery, Signals, Computer software, Dynamics (Mechanics), Filters
Proceedings Papers

Application of Artificial Neural Networks for Misfiring Detection in an Annular Pulsed Detonation Combustor Mockup

Sascha Wolff, Jan-Simon Schäpel, Rudibert King
Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A001, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-56007
https://doi.org/10.1115/GT2016-56007
View Paper titled, Application of Artificial Neural Networks for Misfiring Detection in an Annular Pulsed Detonation Combustor Mockup
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Topics: Artificial neural networks, Combustion chambers, Explosions, Engines, Combustion, Firing, Machine learning
Proceedings Papers

Three-Dimensional Aerodynamic Optimization of a Multi-Stage Axial Compressor

Tao Ning, Chun-wei Gu, Xiao-tang Li, Tai-qiu Liu
Proc. ASME. GT2016, Volume 2C: Turbomachinery, V02CT45A026, June 13–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: GT2016-57626
https://doi.org/10.1115/GT2016-57626
View Paper titled, Three-Dimensional Aerodynamic Optimization of a Multi-Stage Axial Compressor
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Topics: Compressors, Optimization, Artificial neural networks, Design, Computational fluid dynamics, Genetic algorithms, Stators, Blades, Databases, Feedforward control
Proceedings Papers

Numerical Investigation of Non-Axisymmetric Endwalls in a High Pressure Axial Flow Turbine

Zhenzhe Na, Bo Liu
Proc. ASME. GT2015, Volume 2A: Turbomachinery, V02AT38A021, June 15–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: GT2015-42970
https://doi.org/10.1115/GT2015-42970
View Paper titled, Numerical Investigation of Non-Axisymmetric Endwalls in a High Pressure Axial Flow Turbine
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Topics: Axial flow, High pressure (Physics), Turbines, Flow (Dynamics), Optimization, Rotors, Stators, Design, Vortices, Artificial neural networks