Assessment of the effectiveness of gas path diagnostic schemes

Proceedings of the ASME Turbo Expo 2004

Volumn 2, Issue , 2004, Pages 723-731

  Mathioudakis, K ^a   Kamboukos, Ph ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER OPERATING SYSTEMS; DIAGNOSIS; HEALTH; LINEAR SYSTEMS; MATRIX ALGEBRA; MULTI AGENT SYSTEMS; PARAMETER ESTIMATION; PROBLEM SOLVING;

CONDITION NUMBER; HEALTH PARAMETERS; MULTIPOINT METHODS; SET POINTS;

GAS TURBINES;

EID: 10244246674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/gt2004-53862     Document Type: Conference Paper

References (17)

1. Li Y. G., 2002, Performance analysis based gas turbine diagnostics: a review. Proceedings Of The Institution of Mechanical Engineers, PART A, Journal of Power and Energy, Vol 216 No A6, Dec. 2002, Pp363-377.
2. Stamatis A., Mathioudakis K., Papailiou K.D., 1992, Optimal measurement and health index selection for gas turbine performance status and fault diagnosis. Journal of Engineering for Gas Turbines and Power. Vol. 114. April 1992. pp 209-216. ASME 91-GT-294.
3. Provost M.J., 1994, The use of optimal estimation techniques in the analysis of gas turbines. Phd Thesis. Cranfield Univercity.
4. Provost M.J., 2003, Observability analysis for successful diagnosis of gas turbine faults in Von Karman Institute Lecture Series "Gas Turbine Condition Monitoring and Fault Diagnosis", VKI LS 2003-01, Jan 13-17, 2003.
5. Kamboukos Ph., Oikonomou P., Stamatis A., Mathioudakis K. Optimizing Diagnostic Effectivness Of Mixed Turbofans By Means Of Adaptive Modelling And Choice Of Appropriate Monitoring Parameters. AVT Symposium on "Monitoring and Management of Gas Turbine Fleets for Extended Life and Reduced Costs", Manchester, UK, 8-11 October 2001.
6. Zedda M., Singh R., 1999, Gas Turbine Engine and Sensor Diagnostics, XIV ISABE, Florence, Italy, Sept 5-10.
7. Groenstead T., 2002, Identifiability in Multi-Point Gas Turbine Parameter Estimation Problems. Paper ASME GT2002-30020.
8. Pinelli M., Spina P.R., Venturini M.,2003, Optimized Operating Point Selection for Gas Turbine Health State Analysis by Using a Multi-point Technique. ASME paper GT2003-38191.
9. Kamboukos Ph., Mathioudakis K., 2003, P. Comparison Of Linear And Non-Linear Gas Turbine Performance Diagnostics, ASME paper, GT2003-38518.
10. Elgerd O., Control Systems Theory, McGraw Hill 1967.
11. Meyer C., "Matrix Analysis and Applied Linear Algebra", SIAM, 2000.
12. Press W., Teukolsky S., Vetterling W., Flannery B., 1992, Numerical recipes in FORTRAN 77. The art of scientific computing. Second Edition. Cambridge University.
13. Mathioudakis K.. Non-linear methods for gas turbine fault diagnosis, Von Karman Institute Lecture Series "Gas Turbine Condition Monitoring and Fault Diagnosis", VKI LS 2003-01, Jan 13-17, 2003.
14. Stamatis A., Kamboukos Ph., Aretakis N., Mathioudakis K., On Board Adaptive Models: A General Framework and Implementation Aspects", ASME Turbo Expo 2002, paper GT-2002-30622.
15. Mathioudakis K., Kamboukos Ph., Stamatis A., Turbofan Performance Deterioration Tracking Using Non-Linear Models And Optimization Techniques. Transactions of the ASME, Journal of Turbomachinery, Oct 2002, Vol 124, 580-587.
16. Belsley D., Kuh E., Welsch R. "Regression Diagnostics: Identifying Influential Data and Sources of Collinearity". John Willey & Sons 1980.
17. Doel D., 1993, A weighted-least-squares gas path analysis method for test cell or on wing data. Von Karman Institute Lecture Series "Gas Turbine Condition Monitoring and Fault Diagnosis", VKI LS 2003-01, Jan 13-17, 2003.