Systems and methods for determining operational impact on turbine component creep life
AssigneeGeneral Electric Company
InventorsAnshuman Singh, John Robert Korsedal, Jenfu Yau
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Abstract
A system includes a controller configured to control an operation of a turbine system, and an analytics system coupled to the controller and configured to receive inputs corresponding to the operation of the turbine system, generate an operational impact factor (OIF) value based at least in part on the inputs, generate a turbine system life prediction model configured to predict an operating life of one or more components of the turbine system based at least in part on the OIF value, and provide the OIF value to the controller to perform an action based thereon.
Claims18
A system comprising:
- a controller configured to control an operation of a turbine system;
- and
- an analytics system coupled to the controller and configured to:
- receive inputs corresponding to the operation of the turbine system;
- generate a linear damage rate value based at least in part on the inputs;
- generate a turbine system life prediction model configured to predict an operating life of one or more components of the turbine system based at least in part on the linear damage rate value;
- and
- provide the linear damage rate value to the controller to predict the operating life of the one or more components and to warn of a failure or potential failure of the one or more components.
A non-transitory computer-readable medium having computer executable code stored thereon, the code comprising instructions to:
- cause an analytics system to receive inputs corresponding to an operation of the turbine system;
- cause the analytics system generate linear damage rate value based at least in part on the inputs, wherein the linear damage rate value comprises a linear damage rate value;
- cause the analytics system generate a turbine system life prediction model configured to predict an operating life of one or more components of the turbine system based at least in part on linear damage rate value;
- and
- provide the linear damage rate value to a controller to predict the operating life of the one or more components and to warn of a failure or potential failure of the one or more components.
A system comprising:
- a data analytics system configured to generate a physics-based gas turbine system life prediction model based at least in part on a physics-based design of experiment (DOE) analysis parameter as a first input and a time of creep strain value calculated at one or more operating temperatures associated with an operation of a gas turbine system as a second input, wherein the physics-based gas turbine system life prediction model is configured to predict an operating life of a component of the gas turbine system, wherein the life prediction model provides an input to a controller, and wherein the controller applies the input to derive a control action for the gas turbine system, to predict the operating life of the one or more components, and to warn of a failure or potential failure of the one or more components.
Dependencies are inferred from the claim text.