Patents by Inventor Ruisi LI

Ruisi LI 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).

  • Pilot protection method, device and storage medium
    Patent number: 11756352
    Abstract: A pilot protection method includes: obtaining time-domain signals data of target element at a preset sampling frequency; fusing time-domain signals data of multiple first sampling periods to obtain first time-domain signals combination data; based on a machine learning model, determining whether a fault occurs in target element according to the first time-domain signals combination data; when it is determined that a fault occurs in target element according to the first time-domain signals combination data, based on the machine learning model, determining whether a fault occurs in target element in the second sampling period according to the second time-domain signals combination data. The second sampling period is the sampling period after determining a fault occurs; when it is determined that the same type of fault occurs in target element in multiple consecutive second sampling periods, the pilot protection system is controlled to perform the protection action on the target element.
    Type: Grant
    Filed: November 4, 2022
    Date of Patent: September 12, 2023
    Assignee: GUANGDONG UNIVERSITY OF TECHNOLOGY
    Inventors: Ruiwen He, Ruisi Li, Yuan Jin, Yiyu Lin
  • Pilot protection method, device and storage medium
    Publication number: 20230148329
    Abstract: A pilot protection method includes: obtaining time-domain signals data of target element at a preset sampling frequency; fusing time-domain signals data of multiple first sampling periods to obtain first time-domain signals combination data; based on a machine learning model, determining whether a fault occurs in target element according to the first time-domain signals combination data; when it is determined that a fault occurs in target element according to the first time-domain signals combination data, based on the machine learning model, determining whether a fault occurs in target element in the second sampling period according to the second time-domain signals combination data. The second sampling period is the sampling period after determining a fault occurs; when it is determined that the same type of fault occurs in target element in multiple consecutive second sampling periods, the pilot protection system is controlled to perform the protection action on the target element.
    Type: Application
    Filed: November 4, 2022
    Publication date: May 11, 2023
    Applicant: Guangdong University of Technology
    Inventors: Ruiwen HE, Ruisi LI, Yuan JIN, Yiyu LIN