Gas turbine diagnostic techniques are often based on the recognition methods using the deviations between actual and expected thermodynamic performances. The problem is that the deviations generally depend on current operational conditions. However, our studies show that such a dependency can be low. In this paper, we propose a generalized fault classification that is independent of the operational conditions. To prove this idea, the probabilities of true diagnosis were computed and compared for two cases: the proposed classification and the conventional one based on a fixed operating point. The probabilities were calculated through a stochastic modeling of the diagnostic process. In this process, a thermodynamic model generates deviations that are induced by the faults, and an artificial neural network recognizes these faults. The proposed classification principle has been implemented for both steady state and transient operation of the analyzed gas turbine. The results show that the adoption of the generalized classification hardly affects diagnosis trustworthiness and the classification can be proposed for practical realization.
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e-mail: loboda@calmecac.esimecu.ipn.mx
e-mail: aedlab@ic.kharkov.ua
e-mail: yfeldshteyn@cccglobal.com
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October 2007
Technical Papers
A Generalized Fault Classification for Gas Turbine Diagnostics at Steady States and Transients
Igor Loboda,
Igor Loboda
School of Mechanical and Electrical Engineering,
e-mail: loboda@calmecac.esimecu.ipn.mx
National Polytechnic Institute
, Santa Ana Street, 1000, Mexico City, Federal District, Post Office 04430, Mexico
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Sergiy Yepifanov,
e-mail: aedlab@ic.kharkov.ua
Sergiy Yepifanov
National Aerospace University
, Chkalov Street, 17, Kharkov, Post Office 61070, Ukraine
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Yakov Feldshteyn
e-mail: yfeldshteyn@cccglobal.com
Yakov Feldshteyn
Compressor Controls Corporation
, 4725 121 Street, Des Moines, IA 50323
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Igor Loboda
School of Mechanical and Electrical Engineering,
National Polytechnic Institute
, Santa Ana Street, 1000, Mexico City, Federal District, Post Office 04430, Mexicoe-mail: loboda@calmecac.esimecu.ipn.mx
Sergiy Yepifanov
National Aerospace University
, Chkalov Street, 17, Kharkov, Post Office 61070, Ukrainee-mail: aedlab@ic.kharkov.ua
Yakov Feldshteyn
Compressor Controls Corporation
, 4725 121 Street, Des Moines, IA 50323e-mail: yfeldshteyn@cccglobal.com
J. Eng. Gas Turbines Power. Oct 2007, 129(4): 977-985 (9 pages)
Published Online: January 24, 2007
Article history
Received:
June 29, 2006
Revised:
January 24, 2007
Citation
Loboda, I., Yepifanov, S., and Feldshteyn, Y. (January 24, 2007). "A Generalized Fault Classification for Gas Turbine Diagnostics at Steady States and Transients." ASME. J. Eng. Gas Turbines Power. October 2007; 129(4): 977–985. https://doi.org/10.1115/1.2719261
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