Development of an information fusion system for engine diagnostics and health management

Collection of Technical Papers - AIAA 1st Intelligent Systems Technical Conference

Volumn 2, Issue , 2004, Pages 873-886

  Volponi, Allan J ^a   Brotherton, Tom ^b   Luppold, Robert ^c  

^a PRATT AND WHITNEY   (United States)

^b INTELLIGENT AUTOMATION INC   (United States)

^c Luppold and Associates   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; ARTIFICIAL INTELLIGENCE; COMPUTER ARCHITECTURE; DATA REDUCTION; FUZZY SETS; PATTERN RECOGNITION; PROJECT MANAGEMENT; SENSORS;

ENGINE DIAGNOSTICS; HEALTH MANAGEMENT; INFORMATION FUSION SYSTEM; PROPULSION HEALTH MANAGEMENT (PHM);

GAS TURBINES;

EID: 19944372740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2004-6461     Document Type: Conference Paper

References (21)

1. th Joint Propulsion Conference & Exhibit, Monterey, CA, 1989.
2. Hall, D.L. and Llinas, J., An Introduction to Multisensor Data Fusion, Proceedings of the IEEE, Vol85, No. 1, January 1997.
3. Volponi, A., Data Fusion for Enhanced Aircraft Engine Prognostics and Health Management - Task 14: Program Plan Development, Pratt & Whitney Internal Memo, October, 2001.
4. Branco, G., Master Instrumentation List, C-17 Intelligent Vehicle Systems Document No.: IVS-M1L-001, NASA/Dryden, January 9, 2002.
5. Brotherton, T., Johnson, T., Chadderdon, G., Classification and Novelty Detection Using Linear Models and a Class Dependent-Elliptical Basis Function Neural Network, Proceeding of Int'l Conf on Neural Nets, Anchorage, AK, May 1999.
6. Brotherton, T, and Johnson, T, Anomaly Detection for Advance Military Aircraft Using Neural Networks, Proceeding of. The 2001 IEEE Aerospace Conference, Big Sky, MT, March 2001.
7. Volponi, A, and Urban, L, Mathematical Methods of Relative Engine Performance Diagnostics, SAE 1992 Transactions, Vol 101, Journal of Aerospace, Paper # 922048.
8. Volponi, A, Foundations of Gas Path Analysis I & II, Von Karman Institute for Fluid Dynamics Lecture Notes 2003-01, Jan. 2003.
9. Doel, D. L." An Assessment of Weighted-Least-Squares Based Gas Path Analysis, ASME Paper 93-GT-l19, 1993.
10. Merrington, G.L., Fault Diagnosis in Gas Turbines Using a Model Based Technique, ASME Paper 93-GT-13, 1993.
11. Mathioudakis K., Turbofan Performance Deterioration Tracking Using Non-Linear Models And Optimization Techniques, ASME GT-2002-30026, June 2003.
12. Kobayashi, T., and, Simon, D., A Hybrid Neural Network - Genetic Algorithm Technique for Aircraft Engine Performance Diagnostics, 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, July 2001.
13. Ganguli, R, Application of Fuzzy Logic for Fault Isolation of Jet Engines, ASME 2001-GT-13, June 2001.
14. Lu, P.J., An Evaluation of Engine Fault Diagnostics Using Artificial Neural Networks, ASME 2000-GT-0029, May 2000.
15. Brotherton, T, Volponi, A, Luppold, R, and Simon, D, eSTORM: Enhanced Self Tuning On-board Real-time Engine Model, Proceedings of the 2003 IEEE Aerospace Conference. Big Sky, MT, March 2003.
16. Volponi, A., NASA Revolutionary Aero-Space Engine Research (RASER) Contract Monthly Technical Narrative, Task Order # 5 Data Fusion For Enhanced Aircraft Engine Prognostics and Health Management, Sept-Oct. 2002.
17. Meyer, P., Introductory Probability and Statistical Applications, Addison-Wesley Publishing Co., 1965, page 37.
18. Jensen, F.V., Bayesian Networks and Decision Graphs, Springer-Verlag, Ine, New York, 2001.
19. Jordan, M.I. (editor), Learning in Graphical Models, MT Press, Cambridge, MA, 1998.
20. Looney, C., Fuzzy Petri Nets for Rule-based Reasoning, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 18, No. 1, January/February 1988.
21. Clark, D., and Kandel, A., Fuzzy Belief Networks, Proceedings of the 1990 ACM SIGSMALL/PC Symposium on Small Systems, March 28-30, 1990.