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Process for adaptive modeling of performance degradation

机译:性能退化的自适应建模过程

摘要

The present subject matter is directed to methods and systems for providing adaptive modeling of performance degradation in a system (100), particularly, a gas turbine system. A performance model is provided and operated as both a calibration model (112) and a baseline model (114). Data produced during both operations is stored (116) and differences there between is used in adaptive logic (120), 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.
机译:本主题针对用于在系统(100),特别是燃气涡轮系统中提供性能下降的自适应建模的方法和系统。提供了性能模型并将其用作校准模型(112)和基准模型(114)。存储在两个操作期间产生的数据(116),并且它们之间的差异在自适应逻辑(120)中使用,该自适应逻辑可以对应于神经网络,以预测性能下降以控制系统基线模型的操作。来自系统基线模型的操作的数据也可以在自适应逻辑中被存储并与来自校准模型和基线模型的数据一起使用。

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