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Proceedings Papers

Stability and Robustness Analysis and Optimization for Gain-Scheduled Control of Aero-Engines

Jincen Jiang, Jiali Yang, Xiting Wang, Xiao Yang, Zhongzhi Hu
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A033, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127368
https://doi.org/10.1115/GT2024-127368
View Paper titled, Stability and Robustness Analysis and Optimization for Gain-Scheduled Control of Aero-Engines
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Topics: Aircraft engines, Design, Optimization, Robustness, Stability
Proceedings Papers

A Parallel Online Performance Optimization Method for ATR Engines Based on Ensemble Neural Network

Weidong Cai, Wei Zhao, Binbin Liu, Xuesen Yang, Weiwei Luo, Qingjun Zhao
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A032, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127289
https://doi.org/10.1115/GT2024-127289
View Paper titled, A Parallel Online Performance Optimization Method for ATR Engines Based on Ensemble Neural Network
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Topics: Artificial neural networks, Engines, Optimization
Proceedings Papers

Aero-Engine Remaining Useful Life Prediction via Physics-Informed Self-Attention Encoder

Xuanwu Zhang, Jiayue Lou, Jifa Zhang, Yao Zheng, Yifan Xia
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A022, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124893
https://doi.org/10.1115/GT2024-124893
View Paper titled, Aero-Engine Remaining Useful Life Prediction via Physics-Informed Self-Attention Encoder
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Topics: Aircraft engines, Physics, Service life (Equipment)
Proceedings Papers

Real-Time Jet Engine Performance Analysis System With Compressor Surge and Turbine Choked Flow Detection Functions

Hoang Nguyen Huy, Hung Vu Xuan, Anh Pham Tuan, Son Bui Van, Nam Trinh Thanh, Vinh Ngo Ngoc, Linh Nguyen Viet, Duong Nguyen Thanh
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A010, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122824
https://doi.org/10.1115/GT2024-122824
View Paper titled, Real-Time Jet Engine Performance Analysis System With Compressor Surge and Turbine Choked Flow Detection Functions
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Topics: Compressors, Flow (Dynamics), Jet engines, Surges, Thermodynamics, Turbines
Proceedings Papers

Real Time, Spatially Resolved Methodology for Flame Dynamics Investigation by Means of Fast Imaging and Image Processing

Antonio Ferrante
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A001, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-120883
https://doi.org/10.1115/GT2024-120883
View Paper titled, Real Time, Spatially Resolved Methodology for Flame Dynamics Investigation by Means of Fast Imaging and Image Processing
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Topics: Combustion, Dynamics (Mechanics), Flames, Image processing, Imaging
Proceedings Papers

Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics

Aditya Aditya, Theoklis Nikolaidis, Arias Chao Manuel, Simone Togni
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A030, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127081
https://doi.org/10.1115/GT2024-127081
View Paper titled, Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics
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Topics: Aircraft engines, Artificial intelligence, Condition monitoring, Deep learning, Engines, Convolutional neural networks, Cycles, Flight, Service life (Equipment), Aircraft
Proceedings Papers

Research on Performance Degradation Prediction Method of Heavy-Duty Gas Turbine Based on Data-Physics Fusion Under Uncertainty

Yiyang Liu, Xiaomo Jiang, Manman Wei, Xin Ge
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124704
https://doi.org/10.1115/GT2024-124704
View Paper titled, Research on Performance Degradation Prediction Method of Heavy-Duty Gas Turbine Based on Data-Physics Fusion Under Uncertainty
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Topics: Gas turbines, Physics, Uncertainty
Proceedings Papers

Gas Turbine Gas-Path Fault Diagnosis Based on Decision Fusion of Model-Based and Data-Driven Methods

Xianda Cheng, Haoran Zheng, Wei Dong
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A011, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123564
https://doi.org/10.1115/GT2024-123564
View Paper titled, Gas Turbine Gas-Path Fault Diagnosis Based on Decision Fusion of Model-Based and Data-Driven Methods
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Topics: Fault diagnosis, Gas turbines
Proceedings Papers

A Comparative Study of Model Predictive Control Approaches for Surge Mitigation in Centrifugal Compressors

Luigi Bono Bonacchi, Marta Fiorucci, Manuel Pencelli, Guido Schillaci, Andrea Politano, Giovanni De Magistris, Daniele Galeotti, Giovanni Tonno
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A006, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122251
https://doi.org/10.1115/GT2024-122251
View Paper titled, A Comparative Study of Model Predictive Control Approaches for Surge Mitigation in Centrifugal Compressors
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Topics: Compressors, Predictive control, Surges
Proceedings Papers

Combining Machine Learning, Embedded Sensor Networks and Additive Burner Design for Combustor Structural Health Monitoring

Fabrice Giuliani, Nina Paulitsch, Andrea Hofer, Vojislav Petrovic-Filipovic, Benjamin Maier, Werner Bailer, Martin Winter, Roland Unterberger, Alexander Schricker
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A037, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127925
https://doi.org/10.1115/GT2024-127925
View Paper titled, Combining Machine Learning, Embedded Sensor Networks and Additive Burner Design for Combustor Structural Health Monitoring
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Topics: Combustion, Combustion chambers, Design, Machine learning, Sensor networks, Signal processing, Structural health monitoring
Proceedings Papers

A Numerical and Experimental Study of Five-Hole Probe Calibrations in Low-Speed Flows

Dahae Jeong, Tamara Guimarães
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A036, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127876
https://doi.org/10.1115/GT2024-127876
View Paper titled, A Numerical and Experimental Study of Five-Hole Probe Calibrations in Low-Speed Flows
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Topics: Calibration, Flow (Dynamics), Fluid dynamics, Pressure, Probes
Proceedings Papers

A Speed Control Method for Hydrogen-Fueled Turbojet Using Improved Internal Model Control

Mengni Pan, Ai He, Zhixiong Chen, Yuan Liu, Zhongzhi Hu
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A021, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124875
https://doi.org/10.1115/GT2024-124875
View Paper titled, A Speed Control Method for Hydrogen-Fueled Turbojet Using Improved Internal Model Control
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Topics: Aircraft engines, Aviation, Compressibility, Control algorithms, Control equipment, Damage, Design, Engines, Flow (Dynamics), Fuels
Proceedings Papers

Deep Learning Based Crack Detection in Inhomogeneous X-Ray Images for High Pressure Turbine Blades in Aviation

Timo Kuhlgatz, Sontje Ihler, Marius Bonhage, Thomas Seel
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A012, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123663
https://doi.org/10.1115/GT2024-123663
View Paper titled, Deep Learning Based Crack Detection in Inhomogeneous X-Ray Images for High Pressure Turbine Blades in Aviation
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Topics: Aviation, Crack detection, Damage, Deep learning, High pressure (Physics), Inspection, Turbine blades, X-rays
Proceedings Papers

Low Data Prognostic Model for Rolling Element Bearing Remaining Useful Life

Edoardo Gheller, Sivachakaravarthy Natarajan, Abyjith Pazhoor, Steven Chatterton, Andrea Vania, Paolo Pennacchi
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A035, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127841
https://doi.org/10.1115/GT2024-127841
View Paper titled, Low Data Prognostic Model for Rolling Element Bearing Remaining Useful Life
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Topics: Rolling bearings, Service life (Equipment), Bearings, Failure, Algorithms, Damage, Maintenance, Delays, Filters, Gas turbines
Proceedings Papers

Enhancing Diagnostic Capability by Utilization of Twin-Engine Aircraft Configuration Aspects

Mikael Stenfelt, Amare Desalegn Fentaye, Konstantinos Kyprianidis
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A034, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127733
https://doi.org/10.1115/GT2024-127733
View Paper titled, Enhancing Diagnostic Capability by Utilization of Twin-Engine Aircraft Configuration Aspects
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Topics: Aircraft, Engines, Flow (Dynamics), Gas turbines, Data collection, Optimization, Parameter estimation, Steady state
Proceedings Papers

Prediction of High-Speed Hydraulic Dynamometer Safety Envelope Base on Deep Learning Neural Network

Guo Chen, Hong Xiao, Li Zhou, Rui You
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A023, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124927
https://doi.org/10.1115/GT2024-124927
View Paper titled, Prediction of High-Speed Hydraulic Dynamometer Safety Envelope Base on Deep Learning Neural Network
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Topics: Artificial neural networks, Deep learning, Dynamometers, Safety
Proceedings Papers

A Comparison of Model Predictive Control Architectures for Application to Electrified Aircraft Propulsion Systems

Elyse D. Hill, Donald L. Simon, Joseph W. Connolly
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A013, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123859
https://doi.org/10.1115/GT2024-123859
View Paper titled, A Comparison of Model Predictive Control Architectures for Application to Electrified Aircraft Propulsion Systems
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Topics: Aircraft propulsion, Architecture, Predictive control
Proceedings Papers

Flow Disturbance by Intrusive Instrumentation: Part 2 – Protrusions on the Suction Side of HP Compressor Vanes

Lukas Schäflein, Daniel Jung, Peter Jeschke, Roland Wunderer
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A009, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122780
https://doi.org/10.1115/GT2024-122780
View Paper titled, Flow Disturbance by Intrusive Instrumentation: Part 2 – Protrusions on the Suction Side of HP Compressor Vanes
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Topics: Cascades (Fluid dynamics), Compressors, Flow (Dynamics), Instrumentation, Suction
Proceedings Papers

Fault Detection on Short-Haul or Highly Dynamic Flights Using Transient Flight Segments

Tihomir Varchev, Jürgen Mathes, Christian Koch, Stephan Staudacher
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A014, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124026
https://doi.org/10.1115/GT2024-124026
View Paper titled, Fault Detection on Short-Haul or Highly Dynamic Flights Using Transient Flight Segments
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Topics: Flaw detection, Flight, Machine learning, Transients (Dynamics)
Proceedings Papers

Optimal Control Allocation for Distributed Electric Propulsion in a Series/Parallel Partial Hybrid Powertrain

Jonathan S. Litt
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A008, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122380
https://doi.org/10.1115/GT2024-122380
View Paper titled, Optimal Control Allocation for Distributed Electric Propulsion in a Series/Parallel Partial Hybrid Powertrain
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Topics: Electric propulsion, Optimal control