Fault diagnosis of jet engines by using a multiple model-based approach

Proceedings of the ASME Turbo Expo

Volumn 3, Issue , 2010, Pages 319-329

  Meskin, N ^b   Naderi, E ^a   Khorasani, K ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

^b TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATOR FAULT; FAULT MODES; HIERARCHICAL ARCHITECTURES; MAXIMUM PROBABILITY; MODEL BASED APPROACH; MULTIPLE MODELS; OPERATING MODES; OPERATING POINTS; PERFORMANCE CALCULATION; PRESSURE AND TEMPERATURE SENSORS; REAL TIME FAULT DETECTION; SENSOR MEASUREMENTS; STRUCTURAL FAULTS;

AIR ENGINES; COMPUTER SIMULATION; FAULT DETECTION; MARINE ENGINES; SENSORS;

JET ENGINES;

EID: 80955153752     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2010-23442     Document Type: Conference Paper

References (25)

1. L. A. Urban, "Gas path analysis applied to turbine engine conditioning monitoring," AIAA/SAE, 1972, paper 72-1082.
2. L. A. Urban and A. J. Volponi, "Mathematical methods of relative engine performance diagnostics," Journal of Aerospace, vol. 101, 1992, technical Paper 922048.
3. A. J. Volponi, "Sensor error compensation in engine performance diagnostics," IGTI Turbo Expo 94, 1994, aSME 94-GT-58.
4. -, "Foundations of gas path analysis," in Gas Turbine Condition Montiring and Fault Diagnosis, C. H. Sieverding and K. Mathioudakis, Eds. Belgium: von Karman Isntitute, 2003.
5. A. Volponi and B. Wood, "Engine health management for aircraft propulsion systems," iSHEM Forum 2005.
6. A. J. Volponi, "Extending gas path analysis coverage for other fault conditions," in Gas Turbine Condition Montiring and Fault Diagnosis, C. H. Sieverding and K. Mathioudakis, Eds. Belgium: von Karman Isntitute, 2003.
7. T. Kobayashi and D. L. Simon, "Application of a bank of kalman filters for aircraft engine fault diagnostics," Turbo Expo, 2003, gT2003-38550.
8. N. Aretakis, "Non-linear engine component fault diagnosis from a limited number of measurements using a combinatorial approach," ASME GT-2002-30031, vol. 125, no. 4, 2002.
9. A. J. Volponi, "The use of kalman filter and neural network methodologies in gas turbine performance diagnostics: A comparative study," Journal of Engineering for Gas Turbines and Power, vol. 125, no. 4, pp. 917-924, 2003. (Pubitemid 40231411)
10. R. Ganguli, R. Verma, and N. Roy, "Soft computing application for gas path fault isolation," ASME Conference Proceedings, vol. 2004, no. 41677, pp. 499-508, 2004.
11. R. Ganguli, "Application of fuzzy logic for fault isolation of jet engines," Journal of Engineering for Gas Turbines and Power, vol. 125, no. 3, pp. 617-623, 2003. (Pubitemid 40231434)
12. K. Mathioudakis, C. Romessis, and A. Stamatis, "Probabilistic methods for gas turbine fault diagnostics," in Gas Turbine Condition Montiring and Fault Diagnosis, C. H. Sieverding and K. Mathioudakis, Eds. Belgium: von Karman Isntitute, 2003.
13. S. Sampath and R. Singh, "An integrated fault diagnostics model using genetic algorithm and neural networks," Journal of Engineering for Gas Turbines and Power, vol. 128, no. 1, pp. 49-56, 2006.
14. R. Mohammdai, S. Hashtrudi-Zad, and K. Khorasani, "Hybrid fault diagnosis: Application to a gas turbine engine," Turbo Expo, pp. GT2009-60075, 2009.
15. J. Kurzke, "How to get component maps for aircraft gas turbine performance calculations," International Gas Turbine and Aeroengine Congress and Exposition, 1996.
16. -, "Advanced user-freindly gas turbine performance calculation on a personal computer," International Gas Turbine and Aeroengine Congress and Exposition, 1995.
17. W. P. J. Visser and M. J. Broomhead, "GSP, a generic object-oriented gas turbine simulation environment," International Gas Turbine and Aeroengine Congress and Exposition, 2000.
18. P. Maybeck, "Multiple model adaptive algorithms for detecting and compensating sensor and actuator/surface failures in aircraft flight control systems," International Journal of Robust and Nonlinear Control, vol. 9, pp. 1051-1070, 1999. (Pubitemid 32082153)
19. P. Eide and P. Maybeck, "An MMAE failure detection system for the F-16," IEEE Transactions on Aerospace and Electronic Systems, vol. 32, no. 3, pp. 1125-1136, 1996.
20. S. M. Camporeale, B. Fortunato, and M. Mastrovito, "A modular code for real time dynamic simulation of gas turbines in SIMULINK," Journal of Engineering for Gas Turbines and Power, vol. 128, pp. 506-517, 2006. (Pubitemid 44083613)
21. V. Panov, "GASTURBOLIB-SIMULINK library for gas turbine engine modelling," Proceedings of ASME Turbo Expo: Power for Land, Sea and Air, 2000.
22. G. L. Merrington, "Fault diagnosis in gas turbines using a model-based technique," Journal of Engineering for Gas Turbines and Power, vol. 116, no. 2, pp. 374-380, 1994.
23. R. Mohammadi, E. Naderi, K. Khorasani, and S. Hashtrudi- Zad, "Fault diagnosis of gas turbine engines by using dynamic neural networks," GT2010-23586.
24. R. Ganguli, "Noise and outlier removal from jet engine health signalsusingweighted firmedianhybrid filters," Mechanical Systems and Signal Processing, vol. 16, no. 6, pp. 967-978, 2002. (Pubitemid 35466620)
25. R. Ganguli and B. Dan, "Trend shift detection in jet engine gas path measurements using cascaded recursive median filter with gradient and laplacian edge detector," Journal of Engineering for Gas Turbines and Power, vol. 126, pp. 55-61, 2004. (Pubitemid 40231385)