Patents by Inventor Zongzhen ZHANG

Zongzhen ZHANG 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: 12388291
    Abstract: A thermal-power power electronic direct-hung energy-storage plant backup power system includes a thermal-power grid connection startup/standby unit, a power electronic energy-storage switching unit and a thermal-power plant unit. The thermal-power grid connection startup/standby unit is connected to the power electronic energy-storage switching unit and the thermal-power plant unit, respectively. The power electronic energy-storage switching unit is connected to the thermal-power plant unit.
    Type: Grant
    Filed: December 8, 2023
    Date of Patent: August 12, 2025
    Assignees: Xi'an Thermal Power Research Institute Co., Ltd., Huaneng Luoyuan Power Generation Co., Ltd
    Inventors: Pengyue Wu, Zhiliang Lin, Peihao Yang, Xiaofeng Xue, Xiliang Pan, Shuichao Kou, Hao Guo, Bin Jiang, Xiaobin Liang, Xiaohui Wang, Yunfei Yan, Yue Yin, Zhipeng Li, Lisong Zhang, Jiewen Wang, Benqian Dai, Jinghua Li, Shuting Qiu, Zongzhen Zhang, Bingjiao Wang, Han Wei, Feng Gao, Mengyao Sun, Junbo Zhao, Xinyu Guo, Ting He, Lei Xue
  • Patent number: 12313497
    Abstract: A cross-domain mechanical fault diagnosis method based on multi-channel feature fusion of a CBAM and use thereof includes conducting preliminary feature extraction in a grey-scale graph formed by original signals with convolutional neural network, obtaining high-level features, and compressing the high-level features with a full-connection layer module; conducting deep-level multi-sensor feature extraction with an improved convolutional block attention module (CBAM); conducting fusion for multi-sensor features extracted with an improved convolutional block attention module and obtaining multi-sensor fusion features; and inputting the multi-sensor fusion features into a tag assignor for fault diagnosis results. In the present invention, the latest multi-channel domain adaptation fault diagnosis method is used to realize efficiently intelligent fault diagnosis tasks of bearings in different working states.
    Type: Grant
    Filed: October 25, 2023
    Date of Patent: May 27, 2025
    Assignee: SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY, MINISTRY OF NATURAL RESOURCES
    Inventors: Huaiqian Bao, Jinrui Wang, Zongzhen Zhang, Baokun Han, Shuo Xing
  • Publication number: 20250141258
    Abstract: A thermal-power power electronic direct-hung energy-storage plant backup power system includes a thermal-power grid connection startup/standby unit, a power electronic energy-storage switching unit and a thermal-power plant unit. The thermal-power grid connection startup/standby unit is connected to the power electronic energy-storage switching unit and the thermal-power plant unit, respectively. The power electronic energy-storage switching unit is connected to the thermal-power plant unit.
    Type: Application
    Filed: December 8, 2023
    Publication date: May 1, 2025
    Inventors: Pengyue Wu, Zhiliang Lin, Peihao Yang, Xiaofeng Xue, Xiliang Pan, Shuichao Kou, Hao Guo, Bin Jiang, Xiaobin Liang, Xiaohui Wang, Yunfei Yan, Yue Yin, Zhipeng Li, Lisong Zhang, Jiewen Wang, Benqian Dai, Jinghua Li, Shuting Qiu, Zongzhen Zhang, Bingjiao Wang, Han Wei, Feng Gao, Mengyao Sun, Junbo Zhao, Xinyu Guo, Ting He, Lei Xue
  • Publication number: 20240142342
    Abstract: The present invention belongs to the technical field of mechanical fault data recognition, and discloses a cross-domain mechanical fault diagnosis method based on multi-channel feature fusion of an improved CBAM and use thereof, wherein the method comprises: conducting preliminary feature extraction in a grey-scale graph formed by original signals with convolutional neural network, obtaining high-level features, and compressing the high-level features with a full-connection layer module; conducting deep-level multi-sensor feature extraction with an improved convolutional block attention module (CBAM); conducting fusion for multi-sensor features extracted with an improved convolutional block attention module and obtaining multi-sensor fusion features; and inputting the multi-sensor fusion features into a tag assignor for fault diagnosis results.
    Type: Application
    Filed: October 25, 2023
    Publication date: May 2, 2024
    Inventors: Huaiqian BAO, Jinrui WANG, Zongzhen ZHANG, Baokun HAN, Shuo XING