A comparison of two trending strategies for gas turbine performance prediction

Journal of Engineering for Gas Turbines and Power

Volumn 130, Issue 4, 2008, Pages

  Sekhon, Rajat ^a   Bassily, Hany ^a   Wagner, John ^a  

^a Clemson University   (United States)

Author keywords

Experimental data; Gas turbines; Health monitoring; Statistics; Wavelets

Indexed keywords

ACCIDENT PREVENTION; COMPUTER NETWORKS; ELECTRIC GENERATORS; ELECTRIC LOAD FORECASTING; ENGINES; FORECASTING; GAS TURBINE POWER PLANTS; PARALLEL ALGORITHMS; STATISTICAL METHODS; TURBINES; TURBOMACHINERY; WAVELET TRANSFORMS;

EXPERIMENTAL DATA; HEALTH MONITORING; STATISTICS; WAVELETS;

GAS TURBINES;

EID: 53649105887     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.2898838     Document Type: Article

References (25)

1. Sekhon, R., Bassily, H., and Wagner, J., 2006, "Real Time Prognostic Strategies With Application to Stationary Gas Turbines," ASME Paper No. IMECE 2006-14068.
2. Sekhon, R., Bassily, H., Wagner, J., and Gaddis, J., 2006, "Stationary Gas Turbines - A Real Time Dynamic Model With Experimental Validation," Proceedings of the American Control Conference, Minneapolis, MN, Jun., pp. 1838-1844, Paper No. WEC13.1.
3. Lebold, M., McClintic, K., Campbell, R., Byington, C., and Maynard, K., 2000, "Review of Vibration Analysis Methods for Gearbox Diagnostics and Prognostics," Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, May, pp. 623-634.
4. Atlas, L., Bloor, G., Brotherton, T., Howard, L., Jaw, L., Kacprzynski, G., Karsai, G., Mackey, R., Mesick, J., Reuter, R., and Roemer, M., 2001, "An Evolvable Tri-Reasoner IVHM System," Proceedings of the IEEE Aerospace Conference, Big Sky, MT, Mar., Vol. 6, pp. 63023-63037.
5. Brotherton, T., Jahns, G., Jacobs, J., and Wroblewski, D., 2000, "Prognosis of Faults in Gas Turbine Engines," Proceedings of the IEEE Aerospace Conference, Big Sky, MT, Mar. Vol. 6, pp. 163-171.
6. Wang, P., and Vachtsevanos, G., 2001, "Fault Prognosis Using Dynamic Wavelet Neural Networks," Artif. Intell. Eng. Des. Anal. Manuf., 15(4), pp. 349-365.
7. Schwabacher, M., 2005, "A Survey of Data Driven Prognostics," Paper No. AIAA 2005-7002.
8. Gulen, S., Griffin, P., and Paolucci, S., 2002, "Real Time on Line Performance Diagnostics of Heavy-Duty Industrial Gas Turbines," J. Eng. Gas Turbines Power, 124(4), pp. 910-921.
9. Veer, T., Haglerod, K., and Bolland, O., 2004, "Measured Data Correction for Improved Fouling and Degradation Analysis of Offshore Gas Turbines," Proceedings of the ASME Turbo Expo, Vienna, Austria, Jun., Vol. 7, pp. 823-830.
10. Byington, C., Roemer, M., and Galie, T., 2002, "Prognostic Enhancements to Diagnostic Systems for Improved Condition-Based Maintenance," Proceedings of the IEEE Aerospace Conference, Big Sky, MT, Mar., Vol. 6, pp. 2815-2824.
11. Jardim, R., Barata, M., Assis, L., Alavro, J., and Garcao, A., 1996, "Application of Stochastic Modelling to Support Predictive Maintenance for Industrial Environments," Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Beijing, China, Oct., Vol. 1, pp. 117-122.
12. Greitzer, F., and Ferryman, T., 2003, "Predicting Remaining Life of Mechanical Systems," Proceedings of the ASNE Intelligent Ship Symposium, Philadelphia, PA, Apr.
13. Barlas, I., Zhang, G., Propes, N., and Vachtsevanos, G., 2003, "Addressing Uncertainty and Confidence in Prognosis," Proceedings of the ASNE Intelligent Ship Symposium, Philadelphia, PA, Apr.
14. Mannapov, R., 1992, "Predicting the Remaining Life of Equipment From Damage Statistics," Journal of Chemical & Petroleum Engineering, 28(9), pp. 543-546.
15. Kim, D., and Mead, H., 1999, "Remaining Life Assessment of Refinery Heater Tubes," Proceedings of the ASME Pressure Vessels and Piping Conference, Boston, MA, Aug., Vol. 388, pp. 361-366.
16. Dong, M., and He, D., 2004, "Hidden Semi-Markov Models for Machinery Health Diagnosis and Prognosis," Trans. North Am. Manuf. Res. Inst. SME, 32, pp. 199-206.
17. Sulieman, H., McLellan, P., and Bacon, D., 2001, "A Profile-Based Approach to Parametric Sensitivity Analysis of Nonlinear Regression Models," Technometrics, 43(4), pp. 425-433.
18. Brockwell, P., and Davis, R., 2002, Introduction to Time Series and Forecasting, Springer-Verlag, New York.
19. McAlpin, R., Tally, P., Bernstein, H., and Holm, R., 2003, "Failure Analysis of Inlet Guide Vanes," J. Eng. Gas Turbines Power, 125(1), pp. 236-240.
20. Aboufadel, E., and Schlicker, S., 1999, Discovering Wavelets, Wiley Interscience, New York.
21. Addison, P., 2002, The Illustrated Wavelet Transform Handbook, Institute of Physics, Philadelphia, PA.
22. Sun, Z., Wang, R., Jiang, X., and Xu, M., 2005, "Application of Wavelet Transform to Recursive Prediction of Vibration Signals," J. Harbin Inst. Technol., 12(5), pp. 483-493.
23. Feng, C., Yu, Z., and Kusiak, A., 2006, "Selection and Validation of Predictive Regression and Neural Network Models Based on Designed Experiments," IIE Trans., 38(1), pp. 13-23.
24. Guo, J., Chen, Q., Hu, W., and Xu, S., 2003, "Nonlinear Generalized Predictive Control Based on Inverse System Using Wavelet Networks," Proceedings of the International Conference on Wavelet Analysis and Its Applications, pp. 883-889. China, May, Vol. 2.
25. Daubechies, I., 1992, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, Philadelphia, PA.