Abstract
In the present paper, limitations concerning three implementations of gas path analysis (GPA) methods are investigated and their diagnostic effectiveness is evaluated. The methods were tested for different sets of faults on a twin shaft gas turbine with an instrumentation set typical of today’s engines. Test results revealed that classical GPA is not sufficient. Correct diagnosis is provided only when one already knows a subset of components containing the fault; otherwise, the fault may be attributed to other component (s). The effectiveness of a second method that implements Multi Operating Point Analysis (MOPA) is related with the assumption of non varying health parameters with deviations along with the operating point. Cases of wrong diagnosis were detected when the above assumption was violated. Improvement on the diagnostic effectiveness of the MOPA method has been verified through careful selection of the parameters defining the operating point. Further improvement on diagnostic ability was achieved when a third, recently proposed method was applied. The method uses information produced from existing sensors when artificial operating points are defined close to the initial operating point. It was found that the third method can detect and correctly identify faults even in cases where the multipoint method fails.
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References
Y. G. Li, Performance Analysis Based Gas Turbine Diagnostics: A Review, Proceedings of ImechE Part A, Journal of Power and Energy, 216(6) (2002) 363–377.
K. Mathioudakis and C.H. Sieverding, Gas-turbine Condition Monitoring & Fault Diagnosis, Von Karman Institute Lecture Series, 2003-01.
L. Marinai, D. Probert and R. Singh, Prospects for aero gasturbine diagnostics: a review, Applied Energy, 79 (2004) 109–126.
D. Doel, An Assessment of Weighted-Least-Squares Based Gas Path Analysis, Journal of Engineering for Gas turbines and Power, 116 (1994) 366–373.
A. Stamatis, K. Mathioudakis, G. Berios and K. Papailiou, Jet Engine Fault Detection with Discrete Operating Points Gas Path Analysis, Journal of Propulsion and Power, 7(6) (1991).
T. Grönstedt, A multi-point gas path analysis tool for gas turbine engines with a moderate level of instrumentation, Proc. XV ISABE, Bangalore, India, Sept. 3–7,paper ISABE-2001-1034 (2001).
M. Pinelli, P. R. Spina and M. Venturini, Optimized Operating Point Selection for Gas Turbine Health State Analysis by Using a Multi-Point Technique, ASME Paper, No. GT2003-38191 (2003).
A. Gulati, D. Taylor and R. Singh, Multiple operating point analysis using genetic algorithm optimisation for gas turbine diagnostics, Proc. XV ISABE, Bangalore, India, Sept. 3–7, paper ISABE-2001-1139 (2001).
A. Stamatis, Optimum Use of Existing Sensor Information for Gas Turbine Diagnostics, ASME Paper, GT2008-50296 (2008).
L. A. Urban and A. J. Volponi, Mathematical Methods of Relative Engine Performance Diagnostics, SAE Trans. 101, J. Aerosp. Sect. 1, Technical Paper 922048 (1992).
A. Stamatis, K. Mathioudakis and K. Papailiou, Gas Turbine Component Fault Identification by Means of Adaptive Performance Modeling, ASME Paper, 90-GT-376 (1990).
A. Stamatis and K. Papailiou, Discrete Operating Conditions Gas Path Analysis, AGARD CP No 448, paper 33 (1988).
D. Doel, TEMPER- A Gas Path Analysis Tool for Commercial Jet Engines, ASME paper, 92-GT-315 (1992).
M. J. Barwell, COMPASS—Ground Based Engine Monitoring Program for General Applications, S.A.E. Technical paper, 871734 (1987).
K. Mathioudakis and P. Kamboukos, Assessment of the effectiveness of gas path diagnostic schemes, Journal of Engineering for Gas turbines and Power, 128 (2006) 57–63.
P. Skölde, M. Wallin and T. Grönstedt, An augmented multipoint estimation technique for gas path analysis model generation, ASME paper, GT2004-53995 (2004).
T. Gronstedt, Identifiability in Multipoint as Turbine Parameter Estimation Problems, ASME paper, GT-2002-30020 (2002).
M. Henriksson, Borguet, O. Léonard and T. Grönstedt, On inverse problems in turbine engine parameter estimation, Proceedings of the ASME Turbo Expo 1, 703–711, ASME paper, GT2007-27756 (2007).
Diakunchak, Performance Deterioration in Industrial Gas Turbines, ASME Paper, 91-GT-228 (1991).
G. Aker and H. Saravanamuttoo, Predicting Gas Turbine Degradation Due to Compressor Fouling Using Computer Simulation Techniques, ASME Paper, 88-GT-206 (1988).
A. Stamatis, K. Mathioudakis and K. Papailiou, Adaptive simulation of gas turbine performance, Journal of Engineering for Gas turbines and Power, 112 (1990) 168–175.
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This paper was recommended for publication in revised form by Associate Editor Tong Seop Kim
Prof. A. G. Stamatis is Assistant Professor of Applied Thermodynamics and Thermal Power Stations in the Department of Mechanical Engineering, University of Thessaly. He received his Ph.D. from the Dept. of Mechanical Engineering, National Technical University of Athens, Greece in 1990. The research interests of A. G. Stamatis include thermodynamics, heat transfer and gas dynamics of gas turbines, modeling, simulation and diagnostics of thermal systems, and methods of diagnosis in energy installations based on artificial intelligence.
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Stamatis, A.G. Evaluation of gas path analysis methods for gas turbine diagnosis. J Mech Sci Technol 25, 469–477 (2011). https://doi.org/10.1007/s12206-010-1207-5
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DOI: https://doi.org/10.1007/s12206-010-1207-5