Evaluation of an enhanced bank of Kalman filters for in-flight aircraft engine sensor fault diagnostics

Proceedings of the ASME Turbo Expo 2004

Volumn 2, Issue , 2004, Pages 635-645

  Kobayashi, Takahisa ^a   Simon, Donald L ^b  

^a QSS GROUP INC   (United States)

^b NASA GLENN RESEARCH CENTER   (United States)

Author keywords

Fault Diagnostics; Flight Safety; Gas Turbine Engines; Kalman Filter

Indexed keywords

ACCIDENT PREVENTION; AIRCRAFT ENGINES; COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; KALMAN FILTERING; ROBUSTNESS (CONTROL SYSTEMS); SPACECRAFT PROPULSION;

FAULT DIAGNOSTICS; FLIGHT SAFETY; GAS TURBINE ENGINES;

SENSORS;

EID: 10244276948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/gt2004-53640     Document Type: Conference Paper

References (9)

1. Merrill, W. C., DeLaat, J. C., and Bruton, W. M., 1988, "Advanced Detection, Isolation, and Accommodation of Sensor Failures-Real-Time Evaluation." Journal of Guidance, Control, and Dynamics, 11, pp. 517-526.
2. Kobayashi, T., and Simon, D. L., 2003, "Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics," ASME Paper GT2003-38550.
3. Volponi, A. J., 1994, "Sensor Error Compensation in Engine Performance Diagnostics," ASME Paper 94-GT-58.
4. Doel, D. L., 2003, "Interpretation of Weighted-Least-Squares Gas Path Analysis Results," Journal of Engineering for Gas Turbines and Power, 125, pp. 624-633.
5. Kobayashi, T., and Simon D. L., 2001, "A Hybrid Neural Network-Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics," Paper AIAA-2001-3763.
6. España, M. D., 1993, "On the Estimation Algorithm for Adaptive Performance Optimization of Turbofan Engines," Paper AIAA-93-1823.
7. Volponi, A. J., 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 Paper 2000-GT-547.
8. Kerr, L. J., Nemec, T. S., and Gallops, G. W., 1991, "Real-Time Estimation of Gas Turbine Engine Damage Using a Control Based Kalman Filter Algorithm," ASME Paper 91-GT-216.
9. Brotherton, T., Volponi, A., Luppold, R., and Simon, D. L., 2003, "eSTORM: Enhanced Self Tuning On-Board Real-Time Engine Model," Proceedings of the 2003 IEEE Aerospace Conference, Big Sky, MT.