An evaluation of engine faults diagnostics using artificial neural networks

Proceedings of the ASME Turbo Expo

Volumn 4, Issue , 2000, Pages

  Lu, Pong Jeu ^a   Zhang, Ming Chuan ^b   Hsu, Tzu Cheng ^a   Zhang, Jin ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b BEIHANG UNIVERSITY   (China)

Author keywords

Artificial neural networks; Engine condition monitoring; Fault Isolation

Indexed keywords

BACKPROPAGATION; CONDITION MONITORING; ELECTRIC FAULT CURRENTS; ENGINES; FAILURE ANALYSIS; FEEDFORWARD NEURAL NETWORKS; NEURAL NETWORKS; SPEECH RECOGNITION;

AUTOASSOCIATIVE NEURAL NETWORKS; ENGINE CONDITION MONITORING; FAULT DIAGNOSTIC METHODS; FAULT ISOLATION; FAULTS DIAGNOSTICS; INFLUENCE COEFFICIENT MATRIX; SENSOR DATA VALIDATION; TRAINING AND TESTING;

FAULT DETECTION;

EID: 84955258308     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/2000-GT-0029     Document Type: Conference Paper

References (18)

1. Cifald, M. L., and Chokani, N., 1998, "Engine Monitoring Using Neural Networks," Paper No. AIAA-98-3548.
2. Depold, H. R., and Gass, F. D., 1999, "The Application of Expert Systems and Neural Networks to Gas Turbine Prognostics and Diagnostics," ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER, Vol. 121, No. 4, pp. 607-612.
3. Doel, D. L., 1994, "TEMPER-A Gas Path Analysis Tool for Commercial Jet Engines," ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER, Vol.116, No. 1, pp. 82-89.
4. Doel, D. L., 1994, "An Assessment of Weighted Least-Squares-Based Gas Path Analysis," ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER, Vol. 116, No. 2, pp. 366-373.
5. Eustace, R., and Merrington, G., 1995, "Fault Diagnosis of Fleet Engines Using Neural Networks," ISABE 95-7085, pp.926-936.
6. Haykin, S., 1994, Neural Networks, A Comprehensive Foundation, Macmillan College Publishing Co. Inc., New York.
7. Kramer, M. A., 1991, "Non-linear Principal Component Analysis Using Autoassociative Networks," AICHE Journal, Vol. 37, No. 2, pp. 233-243.
8. Kramer, M. A., 1992, "Autoassociative Neural Networks," Computers and Chemical Engineering, Vol. 16, No. 4, pp. 313-328.
9. Mattern, D. L., Jaw, L. C., Guo, T. H., Graham, R., and McCoy, W., 1997, "Simulation of an Engine Sensor Validation Scheme Using an Autoassociative Neural Networks," Paper No. AIAA-97-2902.
10. Mattern, D. L., Jaw, L. C., Guo, T. H., Graham, R., and McCoy, W., 1998, "Using Neural Networks for Sensor Validation," Paper No. AIAA-98-3547.
11. Napolitano, M., Windon, D., Casanova, J., and Innocenti, M., 1996, "A Comparison between Kalman Filer and Neural Network Approaches for Sensor Validation," Paper No. AIAA-96-3894.
12. Roemer, M., and Atkinson, B., 1997, "Real-Time Health Monitoring nd Diagnostics for Gas Turbine Engines," ASME Paper No. 97-GT-30.
13. Romer, M., 1998, "Testing of a Real-Time Health Monitoring and Diagnostics System for Gas Turbine Engines," AIAA-98-3603.
14. Urban, L. A., 1972, "Gas Path Analysis Applied to Turbine Engine Condition Monitoring," AIAA/SAE Paper 72-1082.
15. Urban, L. A., and Volponi, A. J., 1992, "Mathematical Methods of Relative Engine Performance Diagnostics," SAE 1992 Transactions, Vol. 101, Journal of Aerospace, Technical Paper 922048.
16. Whitehead, B., Kiech, E., and Ali, M., 1990, "Rocket Engine Diagnostics Using Neural Networks," Paper No. AIAA-90-1892.
17. Werbos, P. J., 1974, "Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences," Ph. D Thesis, Harvard University, Cambridge, MA.
18. Zedda, M., and Singh, R., 1998, "Fault Diagnosis of a Turbine Engine Using Neural Networks: a Quantitative Approach," Paper No. AIAA-98-3602.