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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Grahic Jump Location
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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