Development of a statistical methodology for gas turbine prognostics

Journal of Engineering for Gas Turbines and Power

Volumn 134, Issue 2, 2012, Pages

  Puggina, Nicola ^a   Venturini, Mauro ^a  

^a UNIVERSITY OF FERRARA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA TREND; FIELD MEASUREMENT; HEALTH CONDITION; HISTORICAL DATA; LOCAL TEMPERATURE; MONTE CARLO; OPERATING STATE; PERFORMANCE PARAMETERS; PREDICTION ERRORS; SIMULATION MODEL; SPECIFIC FUEL CONSUMPTION;

COMPUTER SIMULATION; MONTE CARLO METHODS; RELIABILITY ANALYSIS; SENSITIVITY ANALYSIS;

GAS TURBINES;

EID: 84555187364     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.4004185     Document Type: Article

References (30)

1. Hoeft, R. F., 1996, "Heavy Duty Gas Turbine Operating & Maintenance Considerations," Proceedings of the 39th Ge Turbine State-of-the-Art Technology Seminar, Ge Paper No. GER-3620d.
2. Bettocchi, R., Pinelli, M., Spina, P. R., Venturini, M., and Sebastianelli, S., 2001, "A System for Health State Determination of Natural Gas Compression Gas Turbines," ASME Paper No. 2001-GT-223.
3. Therkorn, D., 2005, "Remote Monitoring and Diagnostic for Combined-Cycle Power Plants," ASME Paper No. GT2005-68710.
4. DePold, H. R., and Siegel, J., 2006, "Using Diagnostics and Prognostics to Minimize the Cost of Ownership of Gas Turbines," ASME Paper No. GT2006-91183.
5. Stamatis, A., Mathioudakis, K., and Papailiou, K. D., 1990, "Adaptive Simulation of Gas Turbine Performance," ASME J. Eng. Gas Turbines Power, 112, pp. 168-175.
6. Bettocchi, R., and Spina, P. R., 1999, "Diagnosis of Gas Turbine Operating Conditions by Means of the Inverse Cycle Calculation," ASME Paper No. 99-GT-185.
7. Pinelli, M., and Venturini, M., 2002, "Application of Methodologies to Evaluate the Health State of Gas Turbines in a Cogenerative Combined Cycle Power Plant," ASME Paper No. GT-2002-30248.
8. Doel, D. L., 2003, "Development of Baselines, Influence Coefficients and Statistical Inputs for Gas Path Analysis," Gas Turbine Monitoring and Fault Diagnosis (von Karman Institute Lecture Series 2003-1), Jan 13-17.
9. Li, Y. G., 2004, "Gas Turbine Diagnosis Using a Fault Isolation Enhanced GPA," ASME Paper No. GT2004-53571.
10. Jaw, L. C., 2005, "Recent Advancements in Aircraft Engine Health Management (EHM) Technologies and Recommendations for the Next Step," ASME Paper No. GT2005-68625.
11. Hindle, E., Van Stone, R., Brogan, C., Ken Dale, J. V., and Gibson, N., 2006, "A Prognostic and Diagnostic Approach to Engine Health Management," ASME Paper No. GT2006-90614.
12. Roemer, M. J., Byington, C. S., Kacprzynski, G. J., and Vachtsevanos, G., 2006, "An Overview of Selected Prognostic Technologies with Application to Engine Health Management," ASME Paper No. GT2006-90677.
13. Li, Y. G., and Nilkitsaranont, P., 2009, "Gas Turbine Performance Prognostic for Condition-Based Maintenance," Appl. Energy, 86, pp. 2152-2161.
14. Borguet, S., and Leonard, O., 2008, "A generalized Likelihood Ratio Test for Adaptive Gas Turbine Health Monitoring," ASME Paper No. GT2008-50117.
15. Tarabrin, A. P., Bodrov, A. I., Schurovsky, V. A., and Stalder, J-P., 1998, "Influence of Axial Compressor Fouling on Gas Turbine Unit Performance Based on Different Schemes and with Different Initial Parameters," ASME Paper No. 98-GT-416.
16. Meher-Homji, C. B., Chaker, M., and Bromley, A. F., 2009, "The Fouling of Axial Flow Compressors - Causes, Effects, Susceptibility End Sensitivity," ASME Paper No. GT2009-59239.
17. Schneider, E., Demirciogiu, S., Franco, S., and Therkorn, D., 2009, "Analysis of Compressor On-Line Washing to Optimize Gas Turbine Power Plant Performance," ASME Paper No. GT2009-59356.
18. Lipowsky, H., Staudacher, S., Bauer, M., and Schmidt, K. J., 2010, "Application of Bayesian Forecasting to Change Detection and Prognosis of Gas Turbine Performance," ASME J. Eng. Gas Turbines Power, 132(3), p. 031602.
19. Zaluski, M., Letourneau, S., Bird, J., and Yang, C., 2010, "Developing Data Mining-Based Prognostic Models for CF-18 Aircraft," ASME Paper No. GT2010-22944.
20. Bryg, D. J., Mink, G., and Jaw, L. C., 2008, "Combining Lead Functions and Logistic Regression for Predicting Failures on an Aircraft Engine," ASME Paper No. GT2008-50118.
21. Fishman, G. S., 1996, Monte Carlo: Concepts, Algorithms and Applications, Springer, Berlin.
22. Dubi, A., 2000, Monte Carlo Applications in Systems Engineering, Wiley, NewYork.
23. Spieler, S., Staudacher, S., Fiola, R., Sahm, P., and Weisschuh, M., 2007, "Probabilistic Engine Performance Scatter and Deterioration Modeling," ASME Paper No. GT2007-27051.
24. Muller, M., Staudacher, S., Friedl, W. H., Kohler, R., and Weisschuh, M., 2010, "Probabilistic Engine Maintenance Modeling for Varying Environmental and Operating Conditions," ASME Paper No. GT2010-22548.
25. Sekhon, R., Bassily, H., and Wagner, J., 2008, "A Comparison of Two Trending Strategies for Gas Turbine Performance Prediction," ASME J. Eng. Gas Turbines Power, 130(7), p. 041601.
26. Cavarzere, A., and Venturini, M., 2012, "Application of Forecasting Methodologies to Predict Gas Turbine Behavior Over Time," ASME J. Eng. Gas Turbines Power, 134(1), p. 012401.
27. Pinelli, M., and Venturini, M., 2001, "Operating State Historical Data Analysis to Support Gas Turbine Malfunction Detection," ASME IMECE(2001)/AES- 23665.
28. Davison, C., and Drummond, C., 2009, "Application of Cost Matrices and Cost Curves to Enhance Diagnostic Health Management Metrics for Gas Turbine Performance," ASME Paper No. GT2009-59630.
29. Doel, D. L., 2003, "A Weighted-Least-Squares Gas Path Analysis Method for Test Cell or On-Wing Data," Gas Turbine Monitoring and Fault Diagnosis (von Karman Institute Lecture Series 2003-01), Jan 13-17.
30. Spina, P. R., 2000, "Reliability in the Determination of Gas Turbine Operating State," Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, Paper No. CDC00-INV5805.