Thermodynamic diagnosis of a small scale gas turbine with neural networks

American Society of Mechanical Engineers, Advanced Energy Systems Division (Publication) AES

Volumn 41, Issue , 2001, Pages 441-446

  Bidini, Gianni ^a   Fantozzi, Francesco ^a   Barelii, Linda ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC POWER GENERATION; ELECTRIC POWER PLANTS; ENERGY EFFICIENCY; NEURAL NETWORKS; THERMODYNAMICS;

DIAGNOSTIC TOOLS (DT); PRESSURE COMPRESSOR DISCHARGE;

GAS TURBINES;

EID: 0346750550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Luppold, R. H., Roman, J. R., Gallops, G. W. and Kerr, L. J., Estimating In-Flight Engine Performance Variations Using Kalman Filter Concepts, AIAA Paper n. 89-2584
2. Kerr, L. J., Nemec, T. S. and Gallops, G. W., 1992, Real-Time Estimation of Gas Turbine Engine Damage Using a Control-Based Kalman Filter Algorithm, ASME Journal of Engineering for Gas Turbines and Power, Vol. 114, April 1992
3. Diakunchak, 1992, Performance Deterioration in Industrial Gas Turbines, ASME Journal of Engineering for Gas Turbines and Power, Vol. 114, April 1992
4. Lifson, A., Quentin, G. H., Smalley, A. J. and Knauf, C. L., 1989, Assessment of Gas Turbine Vibration Monitoring, ASME Journal of Engineering for Gas Turbines and Power, Vol. 111, April 1989
5. Meher-Homji and Cyrus, B., 1995, Detect, Troubleshoot Gas-Turbine Blade Failures, Power, Vol. 139 n.12, December 1995
6. Travé-Massuyès, L. and Milne, R., 1997, Gas-Turbines Condition Monitoring Using Qualitative Model-Based Diagnosis, IEEE Intelligent Systems & Their Applications. Vol. 12 n.3, May-June 1997
7. Loukis, E., Mathioudakis, K. and Papailiou, K., 1992, A Procedure for Automated Gas Turbine Blade Fault Identification Based on Spectral Pattern Analysis, ASME Journal of Engineering for Gas Turbines and Power, Vol. 114, April 1992
8. Sing-Tze, B., 1984, Pattern Recognition, Marcel Dekker Inc., New York-Basel
9. Desideri, U., Fantozzi, F., Bidini, G. and Mathieu, Ph., 1997 "Use of Neural Networks for the Simulation of Combined Cycle Transients" IGTI '97, Orlando, Florida
10. Fantozzi, F., and Desideri, U., 1998 "Simulation of Power Plants Transients with Artificial Neural Networks. Application to an Existing Plant", Proc. Instn Mech Engrs Vol 212 Part A, 1998 299-313
11. Bidini, G., Desideri, U. and Fantozzi, F., 1998, "Tecniche di Intelligenza Artificiale applicate alla Regolazìone della Velocità di una Galleria del Vento", Proceedings of the 53° Congress of ATI Associazione Termotecnica Italiana, Firenze (In Italian)
12. Barelli, L., 2000, Diagnostica Termodinamica di Turbine a Gas con Reti Neurali, M.Sc. Thesis, University of Perugia, Perugia, Italy (In Italian)
13. Bettocchi, R., Spina, P. R., 1999, Diagnosis of Gas Turbine Operatine Conditions by Means of the Inverse Cycle Calculation, Proceedings of ASME TURBO EXPO '99, Indianapolis, IN, USA, June 7-10, ASME Paper 99-GT-185, pp. 1-9
14. Bettocchi, R., Spina, P. R., Benvenuti, E., 2000, Set-Up of an Adaptive Method for the Diagnosis of Gas Turbine Operating State by Using Test-Bench Measurements, Proceedings of ASME TURBO EXPO'2000, Munich, Germany, May 8-11, ASME Paper 2000-GT-0309, pp. 1-10.