Fatigue Crack Growth Prediction

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20230214691A1
SERIAL NO

18182660

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Systems and methods for predicting fatigue crack growth are provided. In one example embodiment, a method can include obtaining historical operational data associated with one or more rotatable structures of one or more machines, obtaining data indicative of fatigue crack size for the one or more rotatable structures, and constructing a machine-learned model correlating fatigue crack growth with operational data using a machine learning technique.

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Patent Owner(s)

Patent OwnerAddress
GENERAL ELECTRIC COMPANY1 NEUMANN WAY EVENDALE OH 45215-6301

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dibazar, Alireza San Ramon, US 8 101
Greene, Timothy Ryan San Mateo, US 2 5
Nucci, Louis Christopher Byfield, US 2 5
Stevens, Craig Wesley Revere, US 3 12
Vahldick, Lauren Ashley Boston, US 3 12
Wu, Siyu San Ramon, US 8 15

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