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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
Journal: Journal of Engineering for Gas Turbines and Power
Article Type: Research-Article
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

A Unified Nonlinear Approach to Fault Diagnosis of Aircraft Engines

Xiaodong Zhang, Remus C. Avram, Liang Tang, Michael J. Roemer
Proc. ASME. GT2013, Volume 4: Ceramics; Concentrating Solar Power Plants; Controls, Diagnostics and Instrumentation; Education; Electric Power; Fans and Blowers, V004T06A025, June 3–7, 2013
Paper No: GT2013-95803
DOI: https://doi.org/10.1115/GT2013-95803
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Topics: Aircraft engines, Fault diagnosis, Engines, Flaw detection, Dynamics (Mechanics), Actuators, Design, Sensors, NASA, Propulsion
Proceedings Papers

Engine Parameter Estimation in Test Cells Using Hybrid Physics/Empirical Models

Jonathan A. DeCastro, Dean K. Frederick, Liang Tang
Proc. ASME. GT2011, Volume 3: Controls, Diagnostics and Instrumentation; Education; Electric Power; Microturbines and Small Turbomachinery; Solar Brayton and Rankine Cycle, 169-176, June 6–10, 2011
Paper No: GT2011-45633
DOI: https://doi.org/10.1115/GT2011-45633
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Topics: Engines, Parameter estimation, Physics, Thrust, Dynamics (Mechanics), Kalman filters, Sensors, Artificial neural networks, Construction, Errors
Proceedings Papers

A Unified Nonlinear Adaptive Approach for Detection and Isolation of Engine Faults

Liang Tang, Xiaodong Zhang, Jonathan A. DeCastro, Luis Farfan-Ramos, Donald L. Simon
Proc. ASME. GT2010, Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine, 143-153, June 14–18, 2010
Paper No: GT2010-22642
DOI: https://doi.org/10.1115/GT2010-22642
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Topics: Engines, Actuators, Sensors, Aircraft engines, Compressors, Flaw detection, Maintenance, NASA, Simulation results, Turbines
Proceedings Papers

A Theoretical Study of Submarining Tendency of a Hybrid III 5th Percentile Female Dummy

Liang Tang, Qing Zhou
Proc. ASME. IMECE2009, Volume 13: New Developments in Simulation Methods and Software for Engineering Applications; Safety Engineering, Risk Analysis and Reliability Methods; Transportation Systems, 541-550, November 13–19, 2009
Paper No: IMECE2009-12567
DOI: https://doi.org/10.1115/IMECE2009-12567
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Topics: Belts, Equilibrium (Physics), Finite element model, Kinematics
Proceedings Papers

Real Time Health Estimation and Automated Fault Accommodation for Propulsion Systems

Liang Tang, Michael J. Roemer, Gregory J. Kacprzynski
Proc. ASME. GT2007, Volume 1: Turbo Expo 2007, 729-738, May 14–17, 2007
Paper No: GT2007-27862
DOI: https://doi.org/10.1115/GT2007-27862
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Topics: Propulsion systems, Algorithms, Dynamic models, Engines, Dynamic modeling, Dynamic systems, Flaw detection, Flight, Kalman filters, Maintenance