Patents by Inventor David Dooling

David Dooling 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).

  • Method for predictive maintenance of satellites
    Patent number: 11742934
    Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.
    Type: Grant
    Filed: December 21, 2022
    Date of Patent: August 29, 2023
    Assignee: Resilient Solutions 21, Inc.
    Inventors: David Dooling, Michelle Archuleta, Kameron Baumgardner
  • METHOD FOR PREDICTIVE MAINTENANCE OF SATELLITES
    Publication number: 20230130854
    Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.
    Type: Application
    Filed: December 21, 2022
    Publication date: April 27, 2023
    Inventors: David Dooling, Michelle Archuleta, Kameron Baumgardner
  • Method for predictive maintenance of satellites
    Patent number: 11569905
    Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.
    Type: Grant
    Filed: May 6, 2022
    Date of Patent: January 31, 2023
    Assignee: Resilient Solutions 21, Inc.
    Inventors: David Dooling, Michelle Archuleta, Kameron Baumgardner
  • METHOD FOR PREDICTIVE MAINTENANCE OF SATELLITES
    Publication number: 20220360323
    Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.
    Type: Application
    Filed: May 6, 2022
    Publication date: November 10, 2022
    Inventors: David Dooling, Michelle Archuleta, Kameron Baumgardner