Patents by Inventor Jon Patrick Oak

Jon Patrick Oak 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).

  • Self learning radio frequency monitoring system for identifying and locating faults in electrical distribution systems
    Patent number: 9188632
    Abstract: Electrical faults are detected in electrical distribution systems (EDS) by detection and location of radio frequency (RF) emissions generated by the fault with multiple time-synchronized radio frequency monitors (RFM) distributed about the EDS. The RFMs are coupled to a self-learning, electrical fault monitor (EFM) that characterizes and/or locates electrical faults based on operating state (OS) patterns learned from transmission of test signals generated within the EDS. RF emissions data samples are characterized as safe operation (SO) states or potential electrical faults by accessing a base of stored knowledge concerning fault emission characteristics and/or synchronized time of arrival at each RFM. Information in the base of stored knowledge is updated to include new EDS operating states (OS).
    Type: Grant
    Filed: May 1, 2014
    Date of Patent: November 17, 2015
    Assignee: Siemens Energy, Inc.
    Inventors: Jon Patrick Oak, Edward David Thompson
  • SELF LEARNING RADIO FREQUENCY MONITORING SYSTEM FOR IDENTIFYING AND LOCATING FAULTS IN ELECTRICAL DISTRIBUTION SYSTEMS
    Publication number: 20150316606
    Abstract: Electrical faults are detected in electrical distribution systems (EDS) by detection and location of radio frequency (RF) emissions generated by the fault with multiple time-synchronized radio frequency monitors (RFM) distributed about the EDS. The RFMs are coupled to a self-learning, electrical fault monitor (EFM) that characterizes and/or locates electrical faults based on operating state (OS) patterns learned from transmission of test signals generated within the EDS. RF emissions data samples are characterized as safe operation (SO) states or potential electrical faults by accessing a base of stored knowledge concerning fault emission characteristics and/or synchronized time of arrival at each RFM. Information in the base of stored knowledge is updated to include new EDS operating states (OS).
    Type: Application
    Filed: May 1, 2014
    Publication date: November 5, 2015
    Applicant: Siemens Energy, Inc.
    Inventors: Jon Patrick Oak, Edward David Thompson