Patents by Inventor Craig Wesley Stevens

Craig Wesley Stevens has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Fatigue Crack Growth Prediction
    Publication number: 20230214691
    Abstract: 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.
    Type: Application
    Filed: March 13, 2023
    Publication date: July 6, 2023
    Inventors: Siyu Wu, Alireza Dibazar, Craig Wesley Stevens, Lauren Ashley Vahldick, Timothy Ryan Greene, Louis Christopher Nucci
  • Usage based lifing
    Patent number: 10678969
    Abstract: Systems and methods for predicting usage based lifing and low cycle fatigue consumption are provided. In one example embodiment, a method can include obtaining historical flight data associated with one or more gas turbine engines of an aerial vehicle; obtaining data indicative of one or more operational conditions of the aerial vehicle during an operating period; determining whether the flight data is indicative of a usable flight; and constructing a model correlating low cycle fatigue consumption with flight data using a machine learning technique.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: June 9, 2020
    Assignee: General Electric Company
    Inventors: Craig Wesley Stevens, Simon Shu Kong Chan, Siyu Wu, Lauren Ashley Vahldick, Ronald Burton Wight, Robert Alan Clements
  • Usage Based Lifing
    Publication number: 20180307784
    Abstract: Systems and methods for predicting usage based lifing and low cycle fatigue consumption are provided. In one example embodiment, a method can include obtaining historical flight data associated with one or more gas turbine engines of an aerial vehicle; obtaining data indicative of one or more operational conditions of the aerial vehicle during an operating period; determining whether the flight data is indicative of a usable flight; and constructing a model correlating low cycle fatigue consumption with flight data using a machine learning technique.
    Type: Application
    Filed: April 21, 2017
    Publication date: October 25, 2018
    Inventors: Craig Wesley Stevens, Simon Shu Kong Chan, Siyu Wu, Lauren Ashley Vahldick, Ronald Burton Wight, Robert Alan Clements
  • Fatigue Crack Growth Prediction
    Publication number: 20180260720
    Abstract: 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.
    Type: Application
    Filed: March 2, 2018
    Publication date: September 13, 2018
    Inventors: Siyu Wu, Alireza Dibazar, Craig Wesley Stevens, Lauren Ashley Vahldick, Timothy Ryan Greene, Louis Christopher Nucci