Patents by Inventor John-Peter Dolphin

John-Peter Dolphin 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).

  • Data analytics for predictive maintenance
    Patent number: 12596364
    Abstract: In some embodiments, systems and methods described herein are directed to using smart meters to determine an operational status of an asset. In some embodiments, the asset is a transformer. In some embodiments, the system receives data from the smart meters such as voltage and associates the data with an asset feeding electricity to the smart meter. In some embodiments, the system includes a data analytics platform that can generate a failure probability prediction using the smart meter data. In some embodiments, the system includes an AI model configured to receive smart meter data, execute a decision analysis, and return a designation of whether the asset is at risk of failure or has failed.
    Type: Grant
    Filed: April 12, 2023
    Date of Patent: April 7, 2026
    Assignee: PACIFIC GAS AND ELECTRIC COMPANY
    Inventors: Devon Yates, John-Peter Dolphin, Eric Schoenman, Louis William McFaul, IV, Maryam Variani, Sabrin Mohamed, Aayushi Gupta, Shane Buck, Ana Maria Nungo
  • DATA ANALYTICS FOR PREDICTIVE MAINTENANCE
    Publication number: 20230324900
    Abstract: In some embodiments, systems and methods described herein are directed to using smart meters to determine an operational status of an asset. In some embodiments, the asset is a transformer. In some embodiments, the system receives data from the smart meters such as voltage and associates the data with an asset feeding electricity to the smart meter. In some embodiments, the system includes a data analytics platform that can generate a failure probability prediction using the smart meter data. In some embodiments, the system includes an AI model configured to receive smart meter data, execute a decision analysis, and return a designation of whether the asset is at risk of failure or has failed.
    Type: Application
    Filed: April 12, 2023
    Publication date: October 12, 2023
    Inventors: Devon Yates, John-Peter Dolphin, Eric Schoenman, Louis William McFaul, IV, Maryam Variani, Sabrin Mohamed, Aayushi Gupta, Shane Buck, Ana Maria Nungo