Patents by Inventor Yangyang XUE

Yangyang XUE 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: 12018646
    Abstract: The present invention discloses a large-scale model testing system of a floating offshore wind power generation device, and a method for manufacturing the large-scale model testing system. The large-scale model testing system comprises a floating wind power generation device model, model response measurement systems and environmental parameter measurement systems. The floating wind power generation device model comprises a floating foundation and a tower, wherein a wind turbine is connected to the top of the tower. A plurality of anchoring devices is connected to the side surface of the floating foundation. Each model response measurement system comprises an IMU unit, a wind turbine monitoring unit and an anchoring tension measurement unit. Each environmental parameter measurement system comprises a buoy-type wave height meter, a wind speed and direction meter and a flow velocity and direction meter.
    Type: Grant
    Filed: May 4, 2021
    Date of Patent: June 25, 2024
    Assignees: Three Gorges Zhujiang Power Generation Co., Ltd., South China University of Technology
    Inventors: Chaohe Chen, Jialong Jiao, Aihua Liu, Yifeng Lin, Qiren Wu, Yunzhi Liu, Xinqun Chen, Taiping Liu, Junfeng Liu, Jianping Liu, Zhongliang Wang, Wei Wang, Yuan Xu, Yangyang Xue, Chengdi Lin, Binqi Li, Renshu Xiong, Xinxin Xu, Daojun Ni, Yajing Li, Zhaoqing Liu, Lili Zhou, Pengfei Chen, Tianhui Fan
  • Publication number: 20220357476
    Abstract: An inversion method for a multilayer seabed geoacoustic parameter in a shallow sea, includes: establishing a plurality of seabed models, different seabed models corresponding to different layer numbers, randomly generating a value of each geoacoustic parameter based on a preset change range corresponding to each geoacoustic parameter, then calculating to obtain a theoretical sound pressure value, and comparing the theoretical sound pressure value with an actual sound pressure value, adjusting and updating the value of each geoacoustic parameter according to the comparison result until the obtained theoretical sound pressure value is matched with the actual sound pressure value, and obtaining a target geoacoustic parameter value; calculating to obtain a BIC value corresponding to each seabed model; and taking the seabed model with the minimum BIC value as a target seabed model, and taking a target geoacoustic parameter value corresponding to the target seabed model as a target inversion parameter value.
    Type: Application
    Filed: January 29, 2022
    Publication date: November 10, 2022
    Inventors: Hanhao Zhu, Yangyang Xue, Zhiqiang Cui, Qile Wang
  • Publication number: 20220128036
    Abstract: The present invention discloses a large-scale model testing system of a floating offshore wind power generation device, and a method for manufacturing the large-scale model testing system. The large-scale model testing system comprises a floating wind power generation device model, model response measurement systems and environmental parameter measurement systems. The floating wind power generation device model comprises a floating foundation and a tower, wherein a wind turbine is connected to the top of the tower. A plurality of anchoring devices is connected to the side surface of the floating foundation. Each model response measurement system comprises an IMU unit, a wind turbine monitoring unit and an anchoring tension measurement unit. Each environmental parameter measurement system comprises a buoy-type wave height meter, a wind speed and direction meter and a flow velocity and direction meter.
    Type: Application
    Filed: May 4, 2021
    Publication date: April 28, 2022
    Inventors: Chaohe CHEN, Jialong JIAO, Aihua LIU, Yifeng LIN, Qiren WU, Yunzhi LIU, Xinqun CHEN, Taiping LIU, Junfeng LIU, Jianping LIU, Zhongliang WANG, Wei WANG, Yuan XU, Yangyang XUE, Chengdi LIN, Binqi LI, Renshu XIONG, Xinxin XU, Daojun NI, Yajing LI, Zhaoqing LIU, Lili ZHOU, Pengfei CHEN, Tianhui FAN