Process for adaptive modeling of performance degradation

Abstract

The present subject matter is directed to methods and systems for providing adaptive modeling of performance degradation in a system, particularly, a gas turbine system. A performance model is provided and operated as both a calibration model and a baseline model. Data produced during both operations is stored and differences there between is used in adaptive logic, which may correspond to a neural network, to predict performance degradation to control operation of a system baseline model. Data from operation of the system baseline model may also be stored and used with data from the calibration model and baseline model in the adaptive logic.

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