Resumen
This paper looks at the deviations forming as differences between actual measurements and a normal state function for further application in gas turbine monitoring, diagnostics, and forecasting. The focus of the paper is possible greatest reducing the deviation random errors in order to observe more clearly the trends and to detect corresponding gas turbine faults. Possible error sources are examined and some methods are proposed to enhance the normal function and the deviations. Real maintenance data and gas turbine nonlinear thermodynamic model are applied to realize and verify these methods.
Idioma original | Inglés |
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Número de artículo | 448-037 |
Páginas (desde-hasta) | 335-340 |
Número de páginas | 6 |
Publicación | Series on Energy and Power Systems |
Estado | Publicada - 2004 |
Evento | Proceedings of the Seventh IASTED International Conference on Power and Energy Systems - Clearwater Beach, FL, Estados Unidos Duración: 28 nov. 2004 → 1 dic. 2004 |