Patents by Inventor Weiyu CUI

Weiyu CUI 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).

  • Method and apparatus for inspecting wind turbine blade, and device and storage medium thereof
    Patent number: 11905926
    Abstract: A method and apparatus for inspecting a wind turbine blade. The method includes: acquiring a sound signal generated by an impingement of wind on the wind turbine blade using a sound acquisition device; generating a frequency spectrogram corresponding to the sound signal; and obtaining a damage recognition result of the wind turbine blade from the frequency spectrogram by performing image recognition on the frequency spectrogram based on a damage recognition model. With the method, a damage type of the wind turbine blade is accurately recognized based on the frequency spectrogram without manual inspection. Therefore, human resources are saved. In addition, the health state of the wind turbine blade can be monitored in real time.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: February 20, 2024
    Assignees: ENVISION DIGITAL INTERNATIONAL PTE. LTD., SHANGHAI ENVISION DIGITAL CO., LTD.
    Inventors: Weiyu Cui, Shu Wei, Qingsheng Zhao, Zhongji Yin, Yong Ai, Dong Ao, Zhimeng Wang
  • Method and apparatus for detecting fault, method and apparatus for training model, and device and storage medium
    Patent number: 11746753
    Abstract: Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault.
    Type: Grant
    Filed: November 19, 2020
    Date of Patent: September 5, 2023
    Assignees: ENVISION DIGITAL INTERNATIONAL PTE. LTD., SHANGHAI ENVISION DIGITAL CO., LTD.
    Inventors: Ao Dong, Qingsheng Zhao, Zhongji Yin, Yong Ai, Weiyu Cui
  • Method and Apparatus for Inspecting Wind Turbine Blade, And Device And Storage Medium Thereof
    Publication number: 20230123117
    Abstract: A method and apparatus for inspecting a wind turbine blade. The method includes: acquiring a sound signal generated by an impingement of wind on the wind turbine blade using a sound acquisition device; generating a frequency spectrogram corresponding to the sound signal; and obtaining a damage recognition result of the wind turbine blade from the frequency spectrogram by performing image recognition on the frequency spectrogram based on a damage recognition model. With the method, a damage type of the wind turbine blade is accurately recognized based on the frequency spectrogram without manual inspection. Therefore, human resources are saved. In addition, the health state of the wind turbine blade can be monitored in real time.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 20, 2023
    Inventors: Weiyu CUI, Shu WEI, Qingsheng ZHAO, Zhongji Yin, Yong AI, Dong AO, Zhimeng WANG
  • METHOD AND APPARATUS FOR DETECTING FAULT, METHOD AND APPARATUS FOR TRAINING MODEL, AND DEVICE AND STORAGE MEDIUM
    Publication number: 20230003198
    Abstract: Disclosed are a method and apparatus for detecting a fault, and a method and apparatus for training a model. The method includes: acquiring characteristic data and actual temperature of a first wind turbine among n wind turbines, wherein the characteristic data of the first wind turbine is intended to characterize a working state of the first wind turbine, and n is an integer greater than 1; acquiring a prediction temperature set by inputting the characteristic data of the first wind turbine into a temperature prediction model corresponding to each of the n wind turbines; and detecting, based on the predicted temperature set and the actual temperature of the first wind turbine, whether the first wind turbine encounters a fault.
    Type: Application
    Filed: November 19, 2020
    Publication date: January 5, 2023
    Applicants: ENVISION DIGITAL INTERNATIONAL PTE, LTD., SHANGHAI ENVISION DIGITAL CO., LTD.
    Inventors: Ao DONG, Qingsheng ZHAO, Zhongji YIN, Yong AI, Weiyu CUI