Patents by Inventor Man YAO

Man YAO 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).

  • Full-face shaft boring machine, boring system, and boring method
    Patent number: 12410660
    Abstract: Disclosed is a full-face shaft boring machine, a boring system and a boring method. The full-face shaft boring machine includes a cutterhead structure provided with an outer tapered surface structure protruding in a boring direction. The outer tapered surface structure surrounds an outer circumferential side of the rotation center of the cutterhead structure, and a radial cross section of the outer tapered surface structure gradually decreases in the boring direction; at least one receiving port for rock slag to pass through is formed at the taper top of the outer tapered surface structure and runs through the cutterhead structure in the boring direction; and a slag discharging assembly for discharging the rock slag is arranged on a side of the cutterhead structure away from the boring direction.
    Type: Grant
    Filed: January 13, 2025
    Date of Patent: September 9, 2025
    Assignees: University of Science and Technology Beijing, China University of Mining and Technology-Beijing
    Inventors: Renshu Yang, Liyun Yang, Yiqiang Kang, Zhengbai Chen, Huidong Xu, Donghui Man, Bingyu Liu, Xuejun Sun, Fei Ma, Chaoyang Sun, Xinmin Ma, Liang Ma, Gang Niu, Qunshan Yang, Ning Liu, Weiqiang Chen, Siyuan Huang, Man Yao, Jinjun Liao, Bin Xu, Huaquan Zhang, Qingping Chai, Zhidong Guo, Hechao Zhu, Yong Wang, Yongping Shao
  • Prediction method for mold breakout based on feature vectors and hierarchical clustering
    Patent number: 11105758
    Abstract: A prediction method for mold breakout based on feature vectors and hierarchical clustering is disclosed, which comprises: respectively extracting temperature feature vectors of historical data under sticking breakout and normal conditions and on-line actually measured data to establish a feature vector sample set; performing normalization and hierarchical clustering on the sample set; and checking and judging whether the feature vectors extracted on line belong to a breakout cluster, and then identifying and predicting mold breakout.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: August 31, 2021
    Assignee: Dalian University of Technology
    Inventors: Xudong Wang, Haiyang Duan, Man Yao
  • PREDICTION METHOD FOR MOLD BREAKOUT BASED ON FEATURE VECTORS AND HIERARCHICAL CLUSTERING
    Publication number: 20210048402
    Abstract: A prediction method for mold breakout based on feature vectors and hierarchical clustering is disclosed, which comprises: respectively extracting temperature feature vectors of historical data under sticking breakout and normal conditions and on-line actually measured data to establish a feature vector sample set; performing normalization and hierarchical clustering on the sample set; and checking and judging whether the feature vectors extracted on line belong to a breakout cluster, and then identifying and predicting mold breakout.
    Type: Application
    Filed: August 12, 2019
    Publication date: February 18, 2021
    Inventors: Xudong WANG, Haiyang DUAN, Man YAO