Predictive modeling of high-bypass turbofan engine deterioration
AssigneeGeneral Electric Company
InventorsNeil Holger White Eklund, Mohak Shah, Daniel Edward Marthaler, Christina Marie Brasco
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Abstract
A method, medium, and system to receive actual operational flight data for an engine of a particular type and configuration; train a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired; determine a deterioration factor for the engine, based at least in part, on an operational climate for the engine; and provide a record of the determined deterioration factor.
Claims18
A method, the method comprising:
- receiving actual operation flight data for an engine of a particular type and configuration;
- training a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired;
- determining a deterioration factor for the engine, based at least in part, on an operational climate for the engine;
- and
- providing a record of the determined deterioration factor.
A non-transitory medium storing processor-executable program instructions, the medium comprising program instructions executable by a computer to:
- receive actual operation flight data for an engine of a particular type and configuration;
- train a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired;
- determine a deterioration factor for the engine based, at least in part, on an operational climate for the engine;
- and
- provide a record of the determined deterioration factor.
A system comprising:
- a computing device comprising:
- a memory storing processor-executable program instructions;
- and
- a processor to execute the processor-executable program instructions to cause the computing device to:
- receive actual operational flight data for an engine of a particular type and configuration;
- train a neural network to generate an indicator of the health of the engine based on multiple different inputs to the neural network at a time the flight data was acquired;
- determine a deterioration factor for the engine, based at least in part, on an operational climate for the engine;
- and
- provide a record of the determined deterioration factor.
Dependencies are inferred from the claim text.