Patents by Inventor Mark Mazarek

Mark Mazarek 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).

  • Component maintenance prediction system with behavior modeling
    Patent number: 12482301
    Abstract: A method, apparatus, system for managing a maintenance for a component in a vehicle. Sensor data is received for the vehicle. Target parameters are predicted using behavior machine learning models trained using first training data to predict the target parameters for a normal behavior of the component operating in a tolerance, wherein the target parameters characterize behavior of the component. Prediction metrics are determined from predicted values for the target parameters predicted by behavior machine learning models and actual values for the target parameters. Whether the component will fall out of the tolerance after a time period is predicted using the prediction metrics and a maintenance machine learning model trained using second training data to predict whether the maintenance is needed for the component, wherein the second training data comprises historical prediction metrics determined for the target parameters.
    Type: Grant
    Filed: June 8, 2022
    Date of Patent: November 25, 2025
    Assignee: The Boeing Company
    Inventors: Changzhou Wang, Darren Puigh, Darren Brian Macer, Jun Yuan, Mark Mazarek, Lesley Quach
  • COMPONENT MAINTENANCE PREDICTION SYSTEM WITH BEHAVIOR MODELING
    Publication number: 20230401899
    Abstract: A method, apparatus, system for managing a maintenance for a component in a vehicle. Sensor data is received for the vehicle. Target parameters are predicted using behavior machine learning models trained using first training data to predict the target parameters for a normal behavior of the component operating in a tolerance, wherein the target parameters characterize behavior of the component. Prediction metrics are determined from predicted values for the target parameters predicted by behavior machine learning models and actual values for the target parameters. Whether the component will fall out of the tolerance after a time period is predicted using the prediction metrics and a maintenance machine learning model trained using second training data to predict whether the maintenance is needed for the component, wherein the second training data comprises historical prediction metrics determined for the target parameters.
    Type: Application
    Filed: June 8, 2022
    Publication date: December 14, 2023
    Inventors: Changzhou Wang, Darren Puigh, Darren Brian Macer, Jun Yuan, Mark Mazarek, Lesley Quach