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

Aircraft Turbofan Engine Health Estimation Using Constrained Kalman Filtering

[+] Author and Article Information
Dan Simon

Electrical Engineering Department, Cleveland State University, 1960 East 24th Street, Cleveland, OH 44115e-mail: d.j.simon@csuohio.edu

Donald L. Simon

U.S. Army Research Laboratory, NASA Glenn Research Center, 21000 Brookpark Road, Cleveland, OH 44138e-mail: donald.l.simon@grc.nasa.gov

J. Eng. Gas Turbines Power 127(2), 323-328 (Apr 15, 2005) (6 pages) doi:10.1115/1.1789153 History: Received October 01, 2002; Revised March 01, 2003; Online April 15, 2005
Copyright © 2005 by ASME
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References

Massicotte,  D., Morawski,  R., and Barwicz,  A., 1995, “Incorporation of a Positivity Constraint Into a Kalman-Filter-Based Algorithm for Correction of Spectrometric Data,” IEEE Trans. Instrum. Meas., 44, pp. 2–7.
Simon,  D., and Chia,  T., 2002, “Kalman Filtering With State Equality Constraints,” IEEE Trans. Aerosp. Electron. Syst., 39, pp. 128–136.
Doel,  D., 1994, “TEMPER—A Gas-Path Analysis Tool for Commercial Jet Engines,” ASME J. Eng. Gas Turbines Power, 116, pp. 82–89.
Doel,  D., 1994, “An Assessment of Weighted-Least-Squares-Based Gas Path Analysis,” ASME J. Eng. Gas Turbines Power, 116, pp. 366–373.
DePold,  H., and Gass,  F., 1999, “The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics,” ASME J. Eng. Gas Turbines Power, 121, pp. 607–612.
Volponi,  A., DePold,  H., Ganguli,  R., and Chen,  D., 2000, “The Use of Kalman Filter and Neural Network Methodologies in Gas Turbine Performance Diagnostics: a Comparative Study,” ASME J. Eng. Gas Turbines Power, 125, pp. 917–924.
Kobayashi, T., and Simon, D. L., 2001, “A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics,” 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, Salt Lake City, UT.
Daniele, C., Krosel, S., Szuch, J., and Westerkamp, E., 1983, “Digital Computer Program for Generating Dynamic Turbofan Engine Models (DIGTEM),” NASA Technical Memorandum 83446.
Szuch, J., Krosel, S., and Bruton, W., 1982, “Automated Procedure for Developing Hybrid Computer Simulations of Turbofan Engines,” NASA Technical Paper 1851.
Friedland,  B., 1969, “Treatment of Bias in Recursive Filtering,” IEEE Trans. Autom. Control, AC14, pp. 359–367.
Lambert, H., 1991, “A Simulation Study of Tubofan Engine Deterioration Estimation Using Kalman Filtering Techniques,” NASA Technical Memorandum 104233.
Roemer, M., and Kacprzynski, G., 2000, “Advanced Diagnostics and Prognostics for Turbine Engine Risk Assessment,” IEEE Aerospace Conference, Big Sky, MT., pp. 345–353.
Anderson, B., and Moore, J., 1979, Optimal Filtering, Prentice-Hall, Englewood Cliffs, NJ.
Fletcher, R., 1981, Practical Methods of Optimization, Vol. 2: Constrained Optimization, Wiley, New York.
Gill, P., Murray, W., and Wright, M., 1981, Practical Optimization, Academic, New York.
Daniele, C., and McLaughlin, P., 1984, “The Real-Time Performance of a Parallel, Nonlinear Simulation Technique Applied to a Turbofan Engine,” Modeling and Simulation on Microcomputers, R. Swartz, ed., Society for Computer Simulation, San Diego, CA, pp. 167–171.
Merrill,  W., 1984, “Identification of Multivariable High-Performance Turbofan Engine Dynamics From Closed-Loop Data,” J. Guid. Control Dyn., 7, pp. 677–683.
Chen, C., 1999, Linear System Theory and Design, Oxford University Press, New York.
Sasahara, O., 1985, “JT9D Engine/Module Performance Deterioration Results From Back to Back Testing,” International Symposium on Air Breathing Engines, Beijing, pp. 528–535.
Gelb, A., 1974, Applied Optimal Estimation, MIT Press, Cambridge, MA.

Figures

Grahic Jump Location
Unconstrained Kalman-filter estimates of health parameters. True health-parameter changes are shown as heavy lines. Filter estimates are shown as lighter lines.
Grahic Jump Location
Constrained Kalman-filter estimates of health parameters. True health-parameter changes are shown as heavy lines. Filter estimates are shown as lighter lines.

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