초록 ▼

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 le

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.

대표청구항 ▼

We claim: 1. A method for controlling clearance in a turbine, the method comprising:applying at least one operating parameter as an input to at least one neural network model;modeling via the at least one neural network model thermal expansion of at least one turbine component; andimplementing a con

We claim: 1. A method for controlling clearance in a turbine, the method comprising:applying at least one operating parameter as an input to at least one neural network model;modeling via the at least one neural network model thermal expansion of at least one turbine component; andimplementing a control action based at least in part on the modeled thermal expansion of the at least one turbine component.