发明名称 Methods and Systems for Neural Network Modeling of Turbine Components
摘要 Embodiments of the invention can include methods and systems for controlling clearances in a turbine. In one embodiment, a method can include applying at least one operating parameter as an input to at least one neural network model, modeling via the neural network model a thermal expansion of at least one turbine component, and taking a control action based at least in part on the modeled thermal expansion of the one or more turbine components. An example system can include a controller operable to determine and apply the operating parameters as inputs to the neural network model, model thermal expansion via the neural network model, and generate a control action based at least in part on the modeled thermal expansion.
申请公布号 US2010100248(A1) 申请公布日期 2010.04.22
申请号 US20080971022 申请日期 2008.01.08
申请人 GENERAL ELECTRIC COMPANY 发明人 MINTO KARL DEAN;ZHANG JIANBO;KARACA ERHAN
分类号 G05B13/04;G06F1/26;G06N3/02 主分类号 G05B13/04
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