A Physics-Based Modeling Approach for Performance Monitoring in Gas Turbine Engines


Performance deterioration monitoring is an essential part of the prognostics and health management (PHM) of gas turbine engines (GTEs). This paper proposes a physics-primarily based modeling approach for performance deterioration monitoring with 2 model-primarily based performance indicators, heat loss index and power deficit index, for GTE PHM applications. A comprehensive nonlinear thermodynamic model for a single shaft GTE is developed to determine the relation between the operating conditions and therefore the cycle parameters. The model, once properly calibrated, is ready to predict the GTE cycle parameters in an exceedingly healthy condition because the baseline, while in reality, the measured parameters gradually deviate from the baseline, that reflects the performance deterioration of the GTE. To represent the degradation level, the warmth loss index is defined because the normalized live of the thermal power that's being wasted in the GTE compared to the healthy condition. Similarly, the power deficit index is outlined as the deficiency ratio of the GTE output power thanks to the performance deterioration. The effectiveness of the performance indicators in monitoring performance deterioration and their robustness to the variations of the operating conditions are examined by using three years of typical operating knowledge of an industrial GTE. The results clearly reveal the trends of each the short term recoverable deterioration due to fouling effects in the compressor, and the long run non-recoverable deterioration caused by structural degradation. The technique is very advantageous for prognostic applications where there is no access to internal cycle parameters of a GTE, and only the operating knowledge are accessible, hence no extra sensors are needed.

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