Patents by Inventor Ryan Conrad Kohl

Ryan Conrad Kohl 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).

  • DIAGNOSTICS, PROGNOSTICS, AND HEALTH MANAGEMENT FOR VEHICLES USING KINEMATIC CLUSTERS, BEHAVIORAL SENSOR DATA, AND MAINTENANCE IMPACT DATA
    Publication number: 20210065477
    Abstract: Machine learning based methods for vehicle maintenance are disclosed. In one aspect, there is a method that includes uploading a flight dataset. The flight dataset includes timestamped vectors of kinematic and behavioral sensor data elements acquired by on-board sensors. The method further includes assigning each timestamped vector of the flight dataset to a kinematic cluster. The method further includes identifying behavioral sensor data that is anomalous for the assigned kinematic cluster of the timestamped vector. The method further includes generating an alert criticality score for each combination of kinematic cluster and behavioral sensor with anomalous sensor data.
    Type: Application
    Filed: November 11, 2020
    Publication date: March 4, 2021
    Inventors: Yehoshua Mordechai Segal, Ryan Conrad Kohl
  • Diagnostics, prognostics, and health management for vehicles using kinematic clusters, behavioral sensor data, and maintenance impact data
    Patent number: 10867455
    Abstract: Machine learning based methods for vehicle maintenance are disclosed. In one aspect, there is a method that includes uploading a flight dataset. The flight dataset includes timestamped vectors of kinematic and behavioral sensor data elements acquired by on-board sensors. The method further includes assigning each timestamped vector of the flight dataset to a kinematic cluster. The method further includes identifying behavioral sensor data that is anomalous for the assigned kinematic cluster of the timestamped vector. The method further includes generating an alert criticality score for each combination of kinematic cluster and behavioral sensor with anomalous sensor data.
    Type: Grant
    Filed: October 19, 2018
    Date of Patent: December 15, 2020
    Assignee: AppliedEA, Inc.
    Inventors: Yehoshua Mordechai Segal, Ryan Conrad Kohl
  • DIAGNOSTICS, PROGNOSTICS, AND HEALTH MANAGEMENT FOR VEHICLES USING KINEMATIC CLUSTERS, BEHAVIORAL SENSOR DATA, AND MAINTENANCE IMPACT DATA
    Publication number: 20190180527
    Abstract: Machine learning based methods for vehicle maintenance are disclosed. In one aspect, there is a method that includes uploading a flight dataset. The flight dataset includes timestamped vectors of kinematic and behavioral sensor data elements acquired by on-board sensors. The method further includes assigning each timestamped vector of the flight dataset to a kinematic cluster. The method further includes identifying behavioral sensor data that is anomalous for the assigned kinematic cluster of the timestamped vector. The method further includes generating an alert criticality score for each combination of kinematic cluster and behavioral sensor with anomalous sensor data.
    Type: Application
    Filed: October 19, 2018
    Publication date: June 13, 2019
    Inventors: Yehoshua Mordechai Segal, Ryan Conrad Kohl