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Proceedings Papers

Extending Engine Gas Path Analysis Using Full Flight Data

Liang Tang, Allan J. Volponi, Ethan Prihar

Proc. ASME. GT2019, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A004, June 17–21, 2019

Paper No: GT2019-90161

DOI: https://doi.org/10.1115/GT2019-90161

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Topics: Engines, Flight, Compressors, Flaw detection, Steady state, Algorithms, Delays, Fuel consumption, Maintenance, Sensors

Journal Articles

Intelligent Reasoning for Gas Turbine Fault Isolation and Ambiguity Resolution

Liang Tang, Allan J. Volponi

J. Eng. Gas Turbines Power. April 2019, 141(4): 041023.

Paper No: GTP-18-1318

DOI: https://doi.org/10.1115/1.4040899

Published Online: December 4, 2018

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Topics: Ambiguity, Engines, Resolution (Optics), Computer software, Flight, Gas turbines, Engineering prototypes, Algorithms

Proceedings Papers

Intelligent Reasoning for Gas Turbine Fault Isolation and Ambiguity Resolution

Liang Tang, Allan J. Volponi

Proc. ASME. GT2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A013, June 11–15, 2018

Paper No: GT2018-75540

DOI: https://doi.org/10.1115/GT2018-75540

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Topics: Ambiguity, Gas turbines, Resolution (Optics), Engines, Flight, Maintenance, Computer software, Data acquisition, Engineering prototypes, Expert systems

Proceedings Papers

Sensor Error Compensation in Engine Performance Diagnostics

Allan J. Volponi

Proc. ASME. GT1994, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General, V005T15A008, June 13–16, 1994

Paper No: 94-GT-058

DOI: https://doi.org/10.1115/94-GT-058

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Topics: Engines, Error compensation, Sensors, Errors, Kalman filters, Algorithms, Gas turbines

Proceedings Papers

Gas Turbine Parameter Corrections

Allan J. Volponi

Proc. ASME. GT1998, Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V005T15A026, June 2–5, 1998

Paper No: 98-GT-347

DOI: https://doi.org/10.1115/98-GT-347

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Topics: Gas turbines, Engines, Temperature, Design, Flow (Dynamics), Pressure

Proceedings Papers

The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study

Allan J. Volponi, Hans DePold, Ranjan Ganguli, Chen Daguang

Proc. ASME. GT2000, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V004T04A029, May 8–11, 2000

Paper No: 2000-GT-0547

DOI: https://doi.org/10.1115/2000-GT-0547

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Topics: Artificial neural networks, Gas turbines, Kalman filters, Engines, Flow (Dynamics), Fuels, Instrumentation, Pattern recognition, Temperature

Proceedings Papers

Fuzzy Fuel Flow Selection Logic for a Real Time Embedded Full Authority Digital Engine Control

Angelo Martucci, Allan J. Volponi

Proc. ASME. GT2000, Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education, V004T04A018, May 8–11, 2000

Paper No: 2000-GT-0046

DOI: https://doi.org/10.1115/2000-GT-0046

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Topics: Engines, Flow (Dynamics), Fuels, Design, Fuzzy logic, Cascades (Fluid dynamics), Engineers, Governors, Rotors, Temperature

Journal Articles

Gas Turbine Engine Health Management: Past, Present, and Future Trends

Allan J. Volponi

J. Eng. Gas Turbines Power. May 2014, 136(5): 051201.

Paper No: GTP-13-1422

DOI: https://doi.org/10.1115/1.4026126

Published Online: January 2, 2014

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Topics: Engines, Sensors

Proceedings Papers

Gas Turbine Engine Health Management: Past, Present and Future Trends

Allan J. Volponi

Proc. ASME. GT2013, Volume 8: Supercritical CO2 Power Cycles; Wind Energy; Honors and Awards, V008T46A001, June 3–7, 2013

Paper No: GT2013-96026

DOI: https://doi.org/10.1115/GT2013-96026

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Topics: Gas turbines, Engines, Maintenance, Aircraft, Aircraft engines, Analytical methods, Cycles, Energy generation, Flight, Fuels

Proceedings Papers

Use of Hybrid Engine Modeling for On-Board Module Performance Tracking

Allan J. Volponi

Proc. ASME. GT2005, Volume 1: Turbo Expo 2005, 525-533, June 6–9, 2005

Paper No: GT2005-68169

DOI: https://doi.org/10.1115/GT2005-68169

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Topics: Hybrid engines, Modeling, Engines, Physics, Transients (Dynamics), Cooling, Cycles, Flight, Flow (Dynamics), Hardware

Journal citation

NARROW

Extending Engine Gas Path Analysis Using Full Flight Data

Intelligent Reasoning for Gas Turbine Fault Isolation and Ambiguity Resolution

Intelligent Reasoning for Gas Turbine Fault Isolation and Ambiguity Resolution

Sensor Error Compensation in Engine Performance Diagnostics

Gas Turbine Parameter Corrections

The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: A Comparative Study

Fuzzy Fuel Flow Selection Logic for a Real Time Embedded Full Authority Digital Engine Control

Gas Turbine Engine Health Management: Past, Present, and Future Trends

Gas Turbine Engine Health Management: Past, Present and Future Trends

Use of Hybrid Engine Modeling for On-Board Module Performance Tracking

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