Gas turbine fault diagnosis from fast response data using probabilistic methods and information fusion

Proceedings of the ASME Turbo Expo

Volumn 2, Issue , 2006, Pages 571-579

  Kyriazis, A ^a   Aretakis, N ^a   Mathioudakis, K ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN BELIEF NETWORKS; PROBABILISTIC NEURAL NETWORKS; RADIAL COMPRESSORS; SPECTRAL FAULT SIGNATURES;

COMPRESSORS; FAILURE ANALYSIS; PATTERN RECOGNITION; PROBABILISTIC LOGICS; VIBRATIONS (MECHANICAL);

GAS TURBINES;

EID: 33750805499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/GT2006-90362     Document Type: Conference Paper

References (23)

1. Aretakis N., Mathioudakis K., 1998, "Classification of Radial Compressor Faults Using Pattern-Recognition Techniques", IFAC Journal: Control Engineering Practice,6, pp. 1217-1223.
2. Breese J.S, Horvitz E.J., Peot M.A., Gay R., Quentin G.H., 1992, "Automated Decision-Analytic Diagnosis of Thermal Performance in Gas Turbines", ASME paper No. 92-GT-399
3. DePold H., Gass D., 1999, "The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics", Journal of Engineering for Gas Turbines and Power, ASME, 121, pp. 607-612.
4. Healy T., Kerr L., Larkin L., 1997, "Model Based Fuzzy Logic Sensor Fault Accomodation", ASME paper No. 97-GT-222
5. Siu C., Shen Q., Milne R., 1997, " TMDOCTOR: A Fuzzy Rule- and Case- Based Expert System for Turbomachinery Diagnosis", proceedings of IFAC symposium, SAFEPROCESS '97,1, pp. 556-563
6. Ganguli R., Verma R., Roy N., 2004, "Soft Computing Application for Gas Path Fault Classification", ASME paper No. GT-2004-53209
7. Romessis C., Mathioudakis K., 2006, "Bayesian Network Approach for Gas Path Fault Diagnosis", Journal of Engineering for Gas Turbines and Power, ASME, 128(1), pp. 64-72.
8. Romessis C., Stamatis A., Mathioudakis K., 2001, "Setting up A Belief Network for Turbofan Diagnosis with the Aid of an Engine Performance Model", ISABE paper, ISABE-2001-1032.
9. Romessis C., Stamatis A., Mathioudakis K.,2001, "A Parametric Investigation of the Diagnostic Ability of Probabilistic Neural Networks on Turbofan Engines", ASME paper No. 2001-GT-0011
10. Romessis C., Mathioudakis K., 2002, "Setting up of a Probabilistic Neural Network for Sensor Fault Detection Including Operation with Component Faults", Journal of Engineering for Gas Turbines and Power, ASME, 125(3), pp. 634-641
11. Camporeale S., Dambrosio L., Milella A., Mastrovito M., Fortunato B., 2003, "Fault Diagnosis of Combined Cycle Gas Turbine components Using Feed Forward Neural Networks", ASME paper No. GT-2003-38742
12. Ghoreyshi M., Singh R., 2004, "Using Neural Network for Diagnostics of an Industrial Gas Turbine", ASME paper No. GT-2004-53638
13. Ogaji S.O.T., Li Y.G., Sampath S., Singh R., 2003, "Gas Path Fault Diagnosis of a Turbofan Engine from Transient Data Using Artificial Neural Networks", ASME paper No. GT-2003-38423
14. Dewallef P., Romessis C., Léonard O., Mathioudakis K., 2004, "Combining Classification Techniques with Kalman Filters for Aircraft Engine Diagnostics", ASME paper No. GT-2004-53541
15. K.Goebel, A.Agogino, 2001, 'Fuzzy Sensor Validation and Fusion for Gas Turbine Power Plants', Technical Information series, 2001CRD033
16. rd Int. Conference on Information Fusion, Fusion 2000,1,pp. TuD5-9-TuD5-16
17. Orsagh R.F., Sheldon J., Klenke C.J., 2003, "Prognostics/Diagnostics for Gas Turbine Engine Bearings", ASME paper No. GT-2003-38075
18. Goebel K.,2001, "Architecture and design of a diagnostic information fusion system" Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 15(4), pp 335-348
19. Allan J. Volponi, Tom Brotherton, Robert Luppold, Donald L.Simon, 2004, 'Development of an information fusion system for engine diagnostics and health management', NASA/TM-2004-212924
20. Aretakis N., Mathioudakis K., 1996, "Radial Compressor Fault Identification Using Dynamic Measurement Data", ASME paper No. 96-GT-102
21. Bose N.K., Liang P., 1996, 'Neural Network Fundamentals with graphs, algorithms and applications', McGraw-Hill int. editions
22. Castillo E., Gutierez J.M., Hadi A.S., 1997, "Expert Systems and Probabilistic Network Models", Springer, Monographs in Computer Science.
23. Loukis E., Mathioudakis K., Papailiou K.D., 1992, "A procedure for Automated Gas Turbine Blade Fault Identification Based on Spectral Pattern Analysis", Journal of Engineering for Gas Turbine and Power, ASME, 114(2), pp. 201-208.