Abstract: Systems and methods for performing module-based diagnostics are described. In an exemplary embodiment, sensor values from an actual engine plant are input to an engine component quality estimator which generates performance estimates of major rotating components. Estimated performance differences are generating by comparing the generated performance estimates to a nominal quality engine. The estimated performance differences, which are indicative of component quality, are continuously updated and input to a real-time model of the engine. The model receives operating conditional data and the quality estimates are used to adjust the nominal values in the model to more closely match the model values to the actual plant. Outputs from the engine model are virtual parameters, such as stall margins, specific fuel consumption, and fan/compressor/turbine efficiencies.

Abstract: Methods and systems for reducing or removing the effect of measurement error so that an actual engine operates closer to optimum are described. In an exemplary embodiment, the method includes the steps of identifying an engine operation (e.g., acceleration) that is less than optimal, estimating the measurement error associated with the less than optimal operation, adjusting the engine control logic based on the measurement error estimate, and reassessing the engine operation. The method is implemented, in one form, in an engine controller by programming a control processor to execute the above described method.