Patents by Inventor Yingya Zhou

Yingya Zhou 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).

  • Patent number: 11348536
    Abstract: Provided is a detection circuit and a driving method thereof, and a display panel. The detection circuit includes: a plurality of first detection circuits, a plurality of second detection circuits, and a plurality of third detection circuits. The first detection circuit is connected to a first pin, a first control signal terminal, a first detection signal terminal, and a first gate line corresponding to the first detection circuit; the second detection circuit is connected to a second pin, a second control signal terminal, a second detection signal terminal, and a second gate line corresponding to the second detection circuit; the third detection circuit is connected to a first data line corresponding to the third detection circuit, a sensing signal line corresponding to the third detection circuit, a third detection signal terminal, and a third control signal terminal.
    Type: Grant
    Filed: March 7, 2021
    Date of Patent: May 31, 2022
    Assignees: Hefei Xinsheng Optoelectronics Technology Co., Ltd., BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Jian Wu, Lei Guo, Guangyu Li, Yingya Zhou
  • Patent number: 11339763
    Abstract: A method for monitoring turbines of a windmill farm includes: providing a global nominal dataset containing frame data of the turbines of the windmill farm and continuous reference monitoring data of the turbines for a first period in a fault free state, the reference monitoring data including at least two same monitoring variables for each turbine; building a nominal global model based on the global nominal dataset which describes the relationship in between the windmill turbines and clustering the turbines according thereto; assigning the data of the global nominal dataset to respective nominal local datasets according to the clustering; and building a nominal local model for the turbines of each cluster based on the respective assigned nominal local datasets, the nominal local model being built such that a nonconformity index is providable which indicates a degree of nonconformity between data projected on the local model and the model itself.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: May 24, 2022
    Assignee: Hitachi Energy Switzerland AG
    Inventors: Moncef Chioua, Ni Ya Chen, RongRong Yu, Yingya Zhou, Yao Chen
  • Publication number: 20220005418
    Abstract: Provided is a detection circuit and a driving method thereof, and a display panel. The detection circuit includes: a plurality of first detection circuits, a plurality of second detection circuits, and a plurality of third detection circuits. The first detection circuit is connected to a first pin, a first control signal terminal, a first detection signal terminal, and a first gate line corresponding to the first detection circuit; the second detection circuit is connected to a second pin, a second control signal terminal, a second detection signal terminal, and a second gate line corresponding to the second detection circuit; the third detection circuit is connected to a first data line corresponding to the third detection circuit, a sensing signal line corresponding to the third detection circuit, a third detection signal terminal, and a third control signal terminal.
    Type: Application
    Filed: March 7, 2021
    Publication date: January 6, 2022
    Inventors: Jian WU, Lei GUO, Guangyu LI, Yingya ZHOU
  • Publication number: 20180087489
    Abstract: A method for monitoring turbines of a windmill farm includes: providing a global nominal dataset containing frame data of the turbines of the windmill farm and continuous reference monitoring data of the turbines for a first period in a fault free state, the reference monitoring data including at least two same monitoring variables for each turbine; building a nominal global model based on the global nominal dataset which describes the relationship in between the windmill turbines and clustering the turbines according thereto; assigning the data of the global nominal dataset to respective nominal local datasets according to the clustering; and building a nominal local model for the turbines of each cluster based on the respective assigned nominal local datasets, the nominal local model being built such that a nonconformity index is provideable which indicates a degree of nonconformity between data projected on the local model and the model itself.
    Type: Application
    Filed: December 1, 2017
    Publication date: March 29, 2018
    Inventors: Moncef Chioua, Ni Ya Chen, RongRong Yu, Yingya Zhou, Yao Chen