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
Your Session has timed out. Please sign back in to continue.


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.
Doel,  D., 1994, “TEMPER—a Gas Path Analysis Tool for Commercial Jet Engines,” ASME J. Eng. Gas Turbines Power, 116, pp. 82–89.
Urban,  L. A., and Volponi,  A. J., 1992, “Mathematical Methods of Relative Engine Performance Diagnostics,” S.A.E. technical paper 922048. J. Aerospace Trans.,101, pp. 2025–2050.
Barwell, M. J., 1987, “COMPASS—Ground Based Engine Monitoring Program for General Applications,” S.A.E. Technical paper 871734.
Stamatis,  A., Mathioudakis,  K., and Papailiou,  K. D., 1990, “Adaptive Simulation of Gas Turbine Performance,” ASME J. Eng. Gas Turbines Power, 112, pp. 168–175.
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.
Gronstedt, T. U. J., 2002, “Identifiability in Multipoint Gas Turbine Parameter Estimation Problems,” ASME paper GT-2002-30020.
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.
Ogaji, S. O. T., and Singh, R., 2002, “Study of the Optimization of Measurements Sets for Gas Path Fault Diagnosis in Gas Turbines,” ASME paper GT-2002-30050.
Doel, L. D., 2002, “Interpretation of Weighted Least Squares Gas Path Analysis Results,” ASME paper GT-2002-30025.
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.
Ganguli, R., 2001, “Data Rectification and Detection of Trend Shifts in Jet Engine Gas Path Measurement Using Median Filters and Fuzzy Logic,” ASME paper 2001-GT-0014.
Visual Numerics IMSL standard routines in Fortran. 1970–2002.
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.
Turevskiy, A., Meisner, R., Luppold, R., Kern, R., and Fuller, J., 2002, “A Model Based Controller for Commercial Aero Gas Turbines,” ASME paper GT-2002-30041.
Lietzau, K., and Kreiner, A., 2001, “Model Based Control Concepts for Jet Engines,” ASME paper 2001-GT-0016.


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



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In