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Proceedings Papers

A Comprehensive Model for Cetane Number Prediction Using Machine Learning

Abdul Gani Abdul Jameel

Proc. ASME. GT2021, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A030, June 7–11, 2021

Paper No: GT2021-60097

DOI: https://doi.org/10.1115/GT2021-60097

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Topics: Artificial neural networks, Ignition, Machine learning, Fuels, Algorithms, Combustion, Errors, Ester, Ethers (Class of compounds), Feedforward control

Proceedings Papers

Neural Network for Balance of Plant SOFC-GT Actuator Control

Alex Tsai, Tooran Emami, David Tucker

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A001, September 21–25, 2020

Paper No: GT2020-14028

DOI: https://doi.org/10.1115/GT2020-14028

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Topics: Actuators, Artificial neural networks, Solid oxide fuel cells, Air flow, Feedforward control, Gas turbines, Stress, Computer software, Flow (Dynamics), Fuel cells

Proceedings Papers

Two Degree-of-Freedom µ Synthesis Control With Kalman Filter for Flight Environment Simulation Volume With Sensors Uncertainty

Meiyin Zhu, Xi Wang, Shubo Yang, Huairong Chen, Keqiang Miao, Nannan Gu

Proc. ASME. GT2019, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A002, June 17–21, 2019

Paper No: GT2019-90116

DOI: https://doi.org/10.1115/GT2019-90116

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Topics: Degrees of freedom, Flight, Kalman filters, Sensors, Simulation, Uncertainty, Control equipment, Noise (Sound), Delays, Feedback

Proceedings Papers

A Physics-Based Dynamic Model for Boilers: Part 2 — Model Reduction in a Cogeneration Application

Matthew J. Blom, Michael J. Brear, Chris G. Manzie, Ashley P. Wiese

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A008, June 26–30, 2017

Paper No: GT2017-63546

DOI: https://doi.org/10.1115/GT2017-63546

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Topics: Boilers, Combined heat and power, Dynamic models, Physics, Gas turbines, Wall temperature, Cogeneration plants, Dynamics (Mechanics), Algebra, Computation

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

Paper No: GT2016-57626

DOI: https://doi.org/10.1115/GT2016-57626

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Topics: Compressors, Optimization, Artificial neural networks, Design, Computational fluid dynamics, Genetic algorithms, Stators, Blades, Databases, Feedforward control

Proceedings Papers

Coordinated Operation of Centrifugal Compressors in Series via Model Predictive Control

Mehmet Mercangöz, Andrea Stefani, Andrea Cortinovis

Proc. ASME. GT2016, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T24A025, June 13–17, 2016

Paper No: GT2016-57961

DOI: https://doi.org/10.1115/GT2016-57961

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Topics: Compressors, Predictive control, Engineering simulation, Simulation, Surges, Control equipment, Feedback, Feedforward control, Simulation results, Systems analysis

Proceedings Papers

Open Loop and Closed Loop Performance of Solid Oxide Fuel Cell Turbine Hybrid Systems During Fuel Composition Changes

Nor Farida Harun, David Tucker, Thomas A. Adams, II

Proc. ASME. GT2015, Volume 3: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration, V003T06A023, June 15–19, 2015

Paper No: GT2015-43609

DOI: https://doi.org/10.1115/GT2015-43609

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Topics: Fuels, Solid oxide fuel cells, Turbines, Fuel cells, Transients (Dynamics), Control systems, Gas turbines, Stress, Computer simulation, Feedforward control

Proceedings Papers

Development and Evaluation of Integrated Flight/Propulsion Control Algorithms for a Tactical Fighter

C. M. Carlin, L. L. Munger, D. Gangsaas

Proc. ASME. GT1984, Volume 2: Aircraft Engine; Marine; Microturbines and Small Turbomachinery, V002T02A013, June 4–7, 1984

Paper No: 84-GT-282

DOI: https://doi.org/10.1115/84-GT-282

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Topics: Control algorithms, Flight, Propulsion, Design, Aircraft, Engines, Steady state, Control equipment, Drag (Fluid dynamics), Feedforward control

Proceedings Papers

Active Control of Dynamic Bearing Loads in Rotating Machinery Using Non-Invasive Measurements

William W. Clark, Joo-Hyung Kim, Roy D. Marangoni

Proc. ASME. GT1994, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General, V005T14A013, June 13–16, 1994

Paper No: 94-GT-092

DOI: https://doi.org/10.1115/94-GT-092

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Topics: Bearings, Machinery, Stress, Deflection, Computer simulation, Control equipment, Control systems, Errors, Feedforward control, Signals

Proceedings Papers

Estimating Gas Turbine Internal Cycle Parameters Using a Neural Network

Nicolas W. Chbat, Ravi Rajamani, Todd A. Ashley

Proc. ASME. GT1996, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General, V005T15A023, June 10–13, 1996

Paper No: 96-GT-316

DOI: https://doi.org/10.1115/96-GT-316

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Topics: Artificial neural networks, Cycles, Gas turbines, Control equipment, Errors, Combustion, Temperature, Algorithms, Creep, Feedforward control

Proceedings Papers

Design and Evaluation of an Auto-Tuning Control System for an Altitude Test Facility

R. H. Luppold, R. Meisner, J. M. Norton

Proc. ASME. GT1999, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award; General, V004T04A003, June 7–10, 1999

Paper No: 99-GT-061

DOI: https://doi.org/10.1115/99-GT-061

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Topics: Control systems, Design, Test facilities, Control equipment, Flight, Adaptive control, Engines, Gas turbines, Testing, Aircraft engines

Proceedings Papers

Application of Artificial Neural Networks for the Prediction of Pollutant Emissions and Outlet Temperature in a Fuel-Staged Gas Turbine Combustion Rig

Warren G. Lamont, Mario Roa, Robert P. Lucht

Proc. ASME. GT2014, Volume 4A: Combustion, Fuels and Emissions, V04AT04A002, June 16–20, 2014

Paper No: GT2014-25030

DOI: https://doi.org/10.1115/GT2014-25030

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Topics: Artificial neural networks, Combustion, Emissions, Fuels, Gas turbines, Pollution, Temperature, Combustion chambers, Exhaust systems, Feedforward control

Proceedings Papers

A Neural Network Simulator of a Gas Turbine With a Waste Heat Recovery Section

C. Boccaletti, G. Cerri, B. Seyedan

Proc. ASME. GT2000, Volume 3: Heat Transfer; Electric Power; Industrial and Cogeneration, V003T02A008, May 8–11, 2000

Paper No: 2000-GT-0185

DOI: https://doi.org/10.1115/2000-GT-0185

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Topics: Artificial neural networks, Gas turbines, Heat recovery, Algorithms, Boilers, Feedforward control, Instrumentation, Optimization, Power stations, Steady state

Proceedings Papers

An Evaluation of Engine Faults Diagnostics Using Artificial Neural Networks

Pong-Jeu Lu, Ming-Chuan Zhang, Tzu-Cheng Hsu, Jin Zhang

Proc. ASME. GT2000, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V004T04A001, May 8–11, 2000

Paper No: 2000-GT-0029

DOI: https://doi.org/10.1115/2000-GT-0029

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Topics: Artificial neural networks, Engines, Noise (Sound), Sensors, Fault diagnosis, Condition monitoring, Feedforward control, Smoothing methods, Testing

Proceedings Papers

An Investigation of Artificial Neural Network (ANN) in Quantitative Fault Diagnosis for Turbofan Engine

Sun Bin, Zhang Jin, Zhang Shaoji

Proc. ASME. GT2000, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V004T04A004, May 8–11, 2000

Paper No: 2000-GT-0032

DOI: https://doi.org/10.1115/2000-GT-0032

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Topics: Artificial neural networks, Engines, Fault diagnosis, Turbofans, Algorithms, Feedforward control, Gaussian distribution, Probability

Proceedings Papers

Coupled CFD-ANN Procedure for Extending Heat Transfer Correlations Out of Their Range of Validity

Andrea Viano, Gabriele Ottino, Luca Ratto, Giuseppe Spataro

Proc. ASME. GT2012, Volume 4: Heat Transfer, Parts A and B, 645-655, June 11–15, 2012

Paper No: GT2012-69707

DOI: https://doi.org/10.1115/GT2012-69707

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Topics: Artificial neural networks, Computational fluid dynamics, Heat transfer, Computation, Gas turbines, Turbulence, Architecture, Computer-aided design, Cooling, Databases

Proceedings Papers

Study on Practical Application of Turboprop Engine Condition Monitoring and Fault Diagnostic System Using Fuzzy-Neuro Algorithms

Changduk Kong, Semyeong Lim, Keonwoo Kim

Proc. ASME. GT2012, Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration, 19-30, June 11–15, 2012

Paper No: GT2012-68158

DOI: https://doi.org/10.1115/GT2012-68158

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Topics: Algorithms, Condition monitoring, Engines, Artificial neural networks, Databases, Fuzzy logic, Feedforward control, Genetic algorithms, Graphical user interfaces, Matlab

Proceedings Papers

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

M. F. Abdul Ghafir, Y. G. Li, L. Wang

Proc. ASME. GT2012, Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration, 195-205, June 11–15, 2012

Paper No: GT2012-68856

DOI: https://doi.org/10.1115/GT2012-68856

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Topics: Artificial neural networks, Creep, Gas turbines, Architecture, Reliability, Sensors, Algorithms, Economics , Engines, Errors

Proceedings Papers

A Gas Turbine Engine Model of Transient Operation Across the Flight Envelope

Reza Rezvani, Metin Ozcan, Brian Kestner, Jimmy Tai, Dimitri N. Mavris, Richard Meisner, Steven Sirica

Proc. ASME. GT2011, Volume 3: Controls, Diagnostics and Instrumentation; Education; Electric Power; Microturbines and Small Turbomachinery; Solar Brayton and Rankine Cycle, 133-140, June 6–10, 2011

Paper No: GT2011-45565

DOI: https://doi.org/10.1115/GT2011-45565

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Topics: Flight, Gas turbines, Transients (Dynamics), Artificial neural networks, Engines, Experimental design, Feedforward control, Turbofans

Proceedings Papers

Modeling and Control System Design of a Marine Condensing System

Zhixin Sun, Jiangfeng Wang, Yiping Dai, Danmei Xie

Proc. ASME. GT2011, Volume 4: Cycle Innovations; Fans and Blowers; Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine; Oil and Gas Applications, 867-874, June 6–10, 2011

Paper No: GT2011-45959

DOI: https://doi.org/10.1115/GT2011-45959

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Topics: Condensers (steam plant), Control equipment, Control modeling, Control systems, Cooling, Design, Ejectors, Feedforward control, Fuzzy logic, Pressure

NARROW

A Comprehensive Model for Cetane Number Prediction Using Machine Learning

Neural Network for Balance of Plant SOFC-GT Actuator Control

Two Degree-of-Freedom µ Synthesis Control With Kalman Filter for Flight Environment Simulation Volume With Sensors Uncertainty

A Physics-Based Dynamic Model for Boilers: Part 2 — Model Reduction in a Cogeneration Application

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

Coordinated Operation of Centrifugal Compressors in Series via Model Predictive Control

Open Loop and Closed Loop Performance of Solid Oxide Fuel Cell Turbine Hybrid Systems During Fuel Composition Changes

Development and Evaluation of Integrated Flight/Propulsion Control Algorithms for a Tactical Fighter

Active Control of Dynamic Bearing Loads in Rotating Machinery Using Non-Invasive Measurements

Estimating Gas Turbine Internal Cycle Parameters Using a Neural Network

Design and Evaluation of an Auto-Tuning Control System for an Altitude Test Facility

Application of Artificial Neural Networks for the Prediction of Pollutant Emissions and Outlet Temperature in a Fuel-Staged Gas Turbine Combustion Rig

A Neural Network Simulator of a Gas Turbine With a Waste Heat Recovery Section

An Evaluation of Engine Faults Diagnostics Using Artificial Neural Networks

An Investigation of Artificial Neural Network (ANN) in Quantitative Fault Diagnosis for Turbofan Engine

Coupled CFD-ANN Procedure for Extending Heat Transfer Correlations Out of Their Range of Validity

Study on Practical Application of Turboprop Engine Condition Monitoring and Fault Diagnostic System Using Fuzzy-Neuro Algorithms

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

A Gas Turbine Engine Model of Transient Operation Across the Flight Envelope

Modeling and Control System Design of a Marine Condensing System

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