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TECHNICAL PAPERS

Turbofan Performance Deterioration Tracking Using Nonlinear Models and Optimization Techniques

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

Laboratory of Thermal Turbomachines, National Technical University of Athens, Athens 15710, Greece

J. Turbomach 124(4), 580-587 (Nov 07, 2002) (8 pages) doi:10.1115/1.1512678 History: Received November 11, 2001; Online November 07, 2002
Copyright © 2003 by ASME
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References

Zaita,  A. V., Baley,  G., and Karlsons,  G., 1998, “Performance Deterioration Modeling in Aircraft Gas Turbine Engines,” ASME J. Eng. Gas Turbines Power, April 120, pp. 344–349.
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Barwell, M. J., 1987, “COMPASS-Ground Based Engine Monitoring Program for General Applications,” SAE Technical Paper 871734.
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Volponi A., Sensor Error Compensation in Engine Performance Diagnostics, ASME Paper 94-GT-58.
Lietzau, K., Kreiner A., “Model Based Control Concepts For Jet Engines,” ASME Paper 2001-GT-0016.
Kurz,  R., and Brun,  K., 2001, “Degradation in Gas Turbine Systems,” ASME J. Eng. Gas Turbines Power, 123, Jan. pp. 70–77.
Diakunchak,  I. S., 1992, “Performance Deterioration in Industrial Gas Turbines,” ASME J. Eng. Gas Turbines Power, 114, pp. 161–168.
Olsson, W. J., Stromberg, W. J., 1981, Aircraft Engine Diagnostics, NASA Lewis Res. Center, pp. 43–61, Jan. 1981, Contract No. NASA 3-20632.
Fasching, W. A., Stricklin, R., 1982, CF6 Jet Engine Diagnostics Program: Final Report, NASA/CR-165582.
Sasahara, O., 1985, JT9D Engine/Module Performance Deterioration Results from Back to Back Testing, Paper ISABE 85-7061.
Danielsson, S. G., 1977, “Gas Path Analysis Applied to Pre And Post Overhaul Testing of JT9D Turbofan Engine,” Paper SAE 770993.
Glenny, D. E., 1988, Gas Path Analysis And Engine Performance Monitoring in a Chinook Helicopter, Paper 25, AGARD-CP-448, Engine Condition Monitoring, Technology and Experience.
Stamatis A., Mathioudakis K., Ruiz J., Curnock B., 2001, ‘Real time engine model implementation for adaptive control & performance monitoring of large civil turbofans,’ ASME Paper, 2001-GT-0362.
Stamatis,  A., Mathioudakis,  K., Papailiou,  K. D., 1990, “Adaptive Simulation of Gas Turbine Performance,” ASME J. Eng. Gas Turbines Power, Apr. 112, pp. 168–175.
Grodent, M., Navez, A., 2001, Engine Physical Diagnosis Using A Robust Parameter Estimation Method, 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference And Exhibit, July 8–11, Salt Lake City, UT., Paper AIAA-2001-3768.
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Figures

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Deterioration estimation based on different numbers of data points (different instants along the engine life)
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LPT deterioration estimation by using (a) 7 measurements, (b) 9 measurements. (—actual, ○ estimated)
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Solution of minimizing Eq. (12), for different values of C; (— line for given ΔP3. [[dashed_line]] locus of solutions. • actual fault)
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Estimated solutions for ΔSW41,ΔSE41 when XNHP is given; (• actual solution)
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Loci of solutions for different proportions of standard derivations; given ΔP3. (• actual solution)
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Loci of solutions for different initial values of health parameters (▪); given XNHP; (• actual solution)
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Comparison of solutions by linear and the nonlinear algorithm (— linear, — nonlinear)
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Time evolution of p3 and Δp3 on a deteriorating engine
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Time evolution of ΔT6 and best fit line for smoothing
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Procedure for health parameters determination
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Actual and estimated health parameters evolution in a deteriorating engine (—actual, ○ estimated)
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Comparison of actual and estimated health parameters at the end of the period analyzed
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Estimated health parameter deviations, for data produced from unit disturbances on every individual parameter
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Estimated parameter deviations, for measurements produced by disturbing all health parameters by 1%
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(a) Generation of measured quantities by a model, (b) example set of measurements and parameters on a civil turbofan

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