Patents by Inventor Christopher BETHEL

Christopher BETHEL 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).

  • SENSOR-AGNOSTIC MECHANICAL MACHINE FAULT IDENTIFICATION
    Publication number: 20240069539
    Abstract: A method for identifying a fault of at least one mechanical machine, including causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from the first plurality of mechanical machines, the first plurality of mechanical machines sharing at least one characteristic, supplying at least the first plurality of sets of signals of the first plurality of mechanical machines to a pre-existing fault classifier previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, the second plurality of sensors being of a different type than the first plurality of sensors, the second plurality of mechanical machines sharing the at least one characteristic, modifying the pre-existing fault classifier by employing transfer learning, based at least on the first plurality of sets of signals of the firs
    Type: Application
    Filed: November 9, 2023
    Publication date: February 29, 2024
    Inventors: Ori NEGRI, Christopher BETHEL, Daniel BARSKY, Gal BEN-HAIM, Gal SHAUL, Saar YOSKOVITZ
  • Sensor-agnostic mechanical machine fault identification
    Patent number: 11853047
    Abstract: A method for identifying a fault of at least one mechanical machine, including causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from the first plurality of mechanical machines, the first plurality of mechanical machines sharing at least one characteristic, supplying at least the first plurality of sets of signals of the first plurality of mechanical machines to a pre-existing fault classifier previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, the second plurality of sensors being of a different type than the first plurality of sensors, the second plurality of mechanical machines sharing the at least one characteristic, modifying the pre-existing fault classifier by employing transfer learning, based at least on the first plurality of sets of signals of the firs
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: December 26, 2023
    Assignee: AUGURY SYSTEMS LTD.
    Inventors: Ori Negri, Christopher Bethel, Daniel Barsky, Gal Ben-Haim, Gal Shaul, Saar Yoskovitz
  • SENSOR-AGNOSTIC MECHANICAL MACHINE FAULT IDENTIFICATION
    Publication number: 20220334573
    Abstract: A method for identifying a fault of at least one mechanical machine, including causing a first plurality of sensors coupled to a corresponding first plurality of mechanical machines to acquire a first plurality of sets of signals emanating from the first plurality of mechanical machines, the first plurality of mechanical machines sharing at least one characteristic, supplying at least the first plurality of sets of signals of the first plurality of mechanical machines to a pre-existing fault classifier previously trained to automatically identify faults of a second plurality of mechanical machines based on signals emanating therefrom and previously acquired by a second plurality of sensors, the second plurality of sensors being of a different type than the first plurality of sensors, the second plurality of mechanical machines sharing the at least one characteristic, modifying the pre-existing fault classifier by employing transfer learning, based at least on the first plurality of sets of signals of the firs
    Type: Application
    Filed: September 3, 2020
    Publication date: October 20, 2022
    Inventors: Ori NEGRI, Christopher BETHEL, Daniel BARSKY, Gal BEN-HAIM, Gal SHAUL, Saar YOSKOVITZ