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TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Comparison of Linear and Nonlinear Gas Turbine Performance Diagnostics

[+] Author and Article Information
Ph. Kamboukos, K. Mathioudakis

Laboratory of Thermal Turbomachines, National Technical University of Athens, P.O. Box 64069, Athens 15710, Greece

J. Eng. Gas Turbines Power 127(1), 49-56 (Feb 09, 2005) (8 pages) doi:10.1115/1.1788688 History: Received October 01, 2002; Revised March 01, 2003; Online February 09, 2005
Copyright © 2004 by ASME
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References

Urban, L. A., 1972, “Gas Path Analysis Applied to Turbine Engine Condition Monitoring,” AIAA/SAE 8th Joint Propulsion Specialist Conference, AIAA paper 72-1082, December 1972.
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Escher, P. C., and Singh, R., 1995, “An Object-Oriented Diagnostics Computer Program Suitable for Industrial Gas Turbines,” United 21st International Congress of Combustion Engines (CIMAC), Interlaken, Switzerland, 15–18, May 1995.
Zedda, M., and Singh, R., 1999, “Gas Turbine and Sensor Diagnostics,” ISABE paper 99-7238.
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Grodent, M., and Navez, A., 2001, “Engine Physical Diagnosis Using a Robust Parameter Estimation Method,” AIAA paper AIAA 2001-3768.
Mathioudakis,  K., Kamboukos,  Ph., and Stamatis,  A., 2002. “Turbofan Performance Deterioration Tracking Using Non-Linear Models and Optimization Techniques,” ASME J. Turbomach., 124, pp. 580–587.
Aretakis,  N., Mathioudakis,  K., and Stamatis,  A., 2003, “Non-Linear Engine Component Fault Diagnosis From a Limited Number of Measurements Using a Combinatorial Approach,” ASME J. Eng. Gas Turbines Power, 125, pp. 642–650.
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Stamatis, A., Mathioudakis, K., Ruiz, J., and Curnock, B., 2001, “Real Time Model Implementation for Adaptive Control & Performance Monitoring of Large Civil Turbofans,” ASME paper 2001-GT-0362.
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Stamatis, A., Kamboukos, Ph., Aretakis, N., and Mathioudakis, K., “On Board Adaptive Models: A General Framework and Implementation Aspects,” Proceedings of ASME. Turbo Expo 2002 June 3–6, 2002, Amsterdam The Netherlands. ASME paper No. GT-2002-30622.
Kamboukos, Ph., Mathioudakis, K., and Stamatis, A., 2003, “A Comparative Study of Optimization Methods for Jet Engine Condition Diagnosis,” Paper ISABE 2003-1231, 16th ISABE, Aug. 31–Sept. 5, Cleveland, OH.
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Figures

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Measurement deviation by linear and nonlinear model
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Difference of the predictions of nonlinear and linear models
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Nonlinearity indicator for different health parameters
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NLI for −2% deviation of health parameters
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Methods comparison for various fault situations
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Linear and nonlinear estimates of SW12 in function of fault level
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Euclidian distance of linear estimations from nonlinear for faults with 2% deviations
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Deterioration tracking for parameter SW26 using 400 operating points
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Health parameters at the final point of deterioration scenario
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Linear versus nonlinear model for different ways of derivative calculations
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Linear diagnoses with different ways of discretization for Jacobian matrix elements. Step: 1%.
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Linear diagnoses with different ways of discretization for Jacobian matrix elements. Step: 0.1%.
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Layout of a high bypass ratio partially mixed turbofan engine with station numbering

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