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Proceedings Papers

Design and Validation of a Novel Turbogenerator’s Robotized Inspection System

Enrico Pignone, Alessandro Pistone, Carlo Canali, Fabrizio D’Agostino, Gianfranco Martorana
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A010, June 7–11, 2021
Paper No: GT2021-59546
DOI: https://doi.org/10.1115/GT2021-59546
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Topics: Design, Generators, Inspection, Maintenance, Robotics, Robots, Sensors, Acoustics, Data collection, Downtime
Proceedings Papers

Characterisation and Validation of an Optical Pressure Sensor for Combustion Monitoring at Low Frequency

Gianluca Nicchiotti, Stephane A. Page, Krzysztof Solinski, Lukas Andracher, Nina Paulitsch, Fabrice Giuliani
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A005, June 7–11, 2021
Paper No: GT2021-59103
DOI: https://doi.org/10.1115/GT2021-59103
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Topics: Combustion, Pressure sensors, Pressure, High temperature, Chain, Combustion systems, Computer software, Dynamics (Mechanics), Emissions, Equipment performance
Proceedings Papers

Reconstruction of Temperature Distribution for a Turbulent Free Jet Using Background Oriented Schlieren

Benjamin H. Wahls, Kishore Ranganath Ramakrishnan, Srinath Ekkad
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A011, June 7–11, 2021
Paper No: GT2021-59690
DOI: https://doi.org/10.1115/GT2021-59690
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Topics: Temperature distribution, Turbulence, Nozzles, Temperature, Algorithms, Chemically reactive flow, Displacement, Flow (Dynamics), Steady state, Thermocouples
Proceedings Papers

Turbine Inlet Temperature Measurements in a T 8200 kW Gas Turbine Using Water Vapor Emission

Dale R. Tree, Dustin Badger, Darrel Zeltner, Mohsen Rezasoltani
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A004, June 7–11, 2021
Paper No: GT2021-58998
DOI: https://doi.org/10.1115/GT2021-58998
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Topics: Emissions, Gas turbines, Temperature, Temperature measurement, Turbines, Water vapor
Proceedings Papers

Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach

Lakshya Bhatnagar, Guillermo Paniagua, David G. Cuadrado, Papa Aye N. Aye-Addo, Antonio Castillo Sauca, Francisco Lozano, Matthew Bloxham
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A012, June 7–11, 2021
Paper No: GT2021-59702
DOI: https://doi.org/10.1115/GT2021-59702
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Topics: Cascades (Fluid dynamics), Engines, High pressure (Physics), Stators, Uncertainty, Turbines, Calibration, Probes, Uncertainty analysis, Valves
Proceedings Papers

Binary Repetitive Model Predictive Active Flow Control Applied to an Annular Compressor Stator Cascade With Periodic Disturbances

Benjamin Fietzke, Rudibert King, Jan Mihalyovics, Dieter Peitsch
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A003, June 7–11, 2021
Paper No: GT2021-58744
DOI: https://doi.org/10.1115/GT2021-58744
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Topics: Cascades (Fluid dynamics), Compressors, Flow control, Stators, Flow (Dynamics), Pressure, Suction, Combustion, Corners (Structural elements), Disks
Proceedings Papers

Rapid Defect Detection and Classification in Images Using Convolutional Neural Networks

Peter Warren, Hessein Ali, Hossein Ebrahimi, Ranajay Ghosh
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A013, June 7–11, 2021
Paper No: GT2021-59801
DOI: https://doi.org/10.1115/GT2021-59801
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Topics: Artificial neural networks, Flaw detection, Optical quality control, Machine learning, Image processing, Inspection, Manufacturing, Nondestructive evaluation, Turbomachinery
Proceedings Papers

Considerations for the Extension of Gas Path Analysis To Electrified Aircraft Propulsion Systems

Donald L. Simon, Randy Thomas, Kyle M. Dunlap
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A001, June 7–11, 2021
Paper No: GT2021-58578
DOI: https://doi.org/10.1115/GT2021-58578
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Topics: Aircraft propulsion, Engines, Turbomachinery, Aircraft, Casting, Electronic systems, Gas turbines, Hardware, Parameter estimation, Stress
Proceedings Papers

Development of a Lifetime Pressure Sensitive Paint Procedure for High-Pressure Vane Testing

Papa Aye N. Aye-Addo, Guillermo Paniagua, David G. Cuadrado, Lakshya Bhatnagar, Antonio Castillo Sauca, James Braun, Mateo Gomez-Gomez, Terrence Meyer, Matthew Bloxham
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A014, June 7–11, 2021
Paper No: GT2021-59886
DOI: https://doi.org/10.1115/GT2021-59886
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Topics: High pressure (Physics), Paints, Pressure, Testing, Lasers, Turbines, Calibration, Flow (Dynamics), Uncertainty, Wind
Proceedings Papers

A Novel Gas Path Fault Diagnostic Model for Gas Turbine Based on Explainable Convolutional Neural Network With LIME Method

Chen Yao, Xi Yueyun, Chen Jinwei, Zhang Huisheng
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A008, June 7–11, 2021
Paper No: GT2021-59289
DOI: https://doi.org/10.1115/GT2021-59289
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Topics: Artificial neural networks, Gas turbines, Fault diagnosis, Aviation, Energy industry, Failure mechanisms, Maintenance, Sensors
Proceedings Papers

Adjustment and Validation of Monitoring System Algorithms on the Simulated Historical Data of an Aircraft Engine Fleet

Igor Loboda, Victor Manuel Pineda Molina, Juan Luis Pérez-Ruiz
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A015, June 7–11, 2021
Paper No: GT2021-60020
DOI: https://doi.org/10.1115/GT2021-60020
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Topics: Aircraft engines, Algorithms, Monitoring systems, Engines, Gas turbines, Actuators, Computer software, Propulsion, Sensors, Simulation
Proceedings Papers

Anomaly Detection for Large Fleets of Industrial Equipment: Utilizing Machine Learning With Applications to Power Plant Monitoring

Cody W. Allen, Chad Holcomb, Maurício de Oliveira
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A016, June 7–11, 2021
Paper No: GT2021-60116
DOI: https://doi.org/10.1115/GT2021-60116
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Topics: Machine learning, Power stations, Machinery, Gas turbines, Algorithms, Errors, Failure, Model development, Neural network models, Reliability
Proceedings Papers

Revolutionary Vertical Lift Technology (RVLT) Side-by-Side Hybrid Concept Vehicle Powertrain Dynamic Model

Santino J. Bianco, Christine T. Chevalier, Jonathan S. Litt, Joshua K. Smith, Jeffryes W. Chapman, Jonathan L. Kratz
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A009, June 7–11, 2021
Paper No: GT2021-59375
DOI: https://doi.org/10.1115/GT2021-59375
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Topics: Dynamic models, Vehicles
Proceedings Papers

An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines

Qingfu He, Zhongran Chi, Shusheng Zang
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A017, June 7–11, 2021
Paper No: GT2021-60220
DOI: https://doi.org/10.1115/GT2021-60220
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Topics: Combustion, Turbines, Annulus, Simulation, Thermocouples, Combustion chambers, Errors, Exhaust systems, Steady state, Temperature
Proceedings Papers

A Lesson on Operationalizing Machine Learning for Predictive Maintenance of Gas Turbines

Paolo Pileggi, Elena Lazovik, Ron Snijders, Lars-Uno Axelsson, Sietse Drost, Giulio Martinelli, Max de Grauw, Joris Graff
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A006, June 7–11, 2021
Paper No: GT2021-59249
DOI: https://doi.org/10.1115/GT2021-59249
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Topics: Gas turbines, Machine learning, Maintenance
Proceedings Papers

Hot-Wire Measurements in Non-Calibrated Conditions

Yuexin Wang, Tao Guo, Huiren Zhu
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A007, June 7–11, 2021
Paper No: GT2021-59259
DOI: https://doi.org/10.1115/GT2021-59259
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Topics: Wire, Calibration, Forced convection, Pressure, Temperature, Errors, Flow (Dynamics), Heat transfer, Accuracy and precision, Computer simulation
Proceedings Papers

Acoustic Pyrometry Robustness to Time of Flight Estimation Errors

Gianluca Caposciutti, Lorenzo Ferrari
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A018, June 7–11, 2021
Paper No: GT2021-60266
DOI: https://doi.org/10.1115/GT2021-60266
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Topics: Acoustics, Errors, Flight, Robustness, Temperature measurement
Proceedings Papers

Numerical Calibration and Investigation of the Influence Of Reynolds Number on Measurements With Five-Hole Probes In Compressible Flows

Christian Schäffer, Konstantin Speck, Volker Gümmer
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A002, June 7–11, 2021
Paper No: GT2021-58618
DOI: https://doi.org/10.1115/GT2021-58618
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Topics: Calibration, Compressible flow, Probes, Reynolds number
Proceedings Papers

Linear MPC Operating Far From Design Condition: Assessment Derived From Experiments

Iacopo Rossi, Mario Luigi Ferrari, Alberto Traverso
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A017, September 21–25, 2020
Paper No: GT2020-15189
DOI: https://doi.org/10.1115/GT2020-15189
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Topics: Design, Solid oxide fuel cells, Temperature, Compressors, Control equipment, Gas turbines, Chain, Control systems, Fuel cells, Micro gas turbines
Proceedings Papers

Uncertainty Evaluation on Multi-Hole Aerodynamic Pressure Probes

Andrea Notaristefano, Paolo Gaetani, Vincenzo Dossena, Alberto Fusetti
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T05A009, September 21–25, 2020
Paper No: GT2020-14585
DOI: https://doi.org/10.1115/GT2020-14585
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Topics: Measurement uncertainty, Pressure, Probes, Uncertainty