C
Cao Xuexing
Publications - 12
Citations - 27
Cao Xuexing is an academic researcher. The author has contributed to research in topics: Synchronizing & Mechanism (engineering). The author has an hindex of 3, co-authored 12 publications receiving 27 citations.
Papers
More filters
Patent
Hydraulic ship lift with anti-capsizing capacity
Ma Hongqi,Yuan Xianghua,Xiang Zejiang,Ai Yongping,Chuan Yimin,Nan Guanqun,Zou Rui,Chen Zhaoxin,Hu Xiaolin,Zhang Hongtao,Xiao Haibin,Huang Qun,Zhou Keheng,Cao Xuexing,Zhang Zongliang,Li Zichong,Ma Renchao,Cao Yinan,Ling Yun,Xie Sisi,Yu Junyang,Hu Yaan,Li Zhonghua,Li Yun,Xuan Guoxiang,Wang Xin,Yan Xiujun,Xue Shu,Guo Chao,Huang Yue,Wu Yihong,Zhang Rui,Zhang Dong,Zhang Jinxiong,Zhang Wenyuan,Zhang Hongwei,Gao Jianbiao +36 more
TL;DR: In this paper, a hydraulic ship lift with an active anti-capsizing mechanical synchronizing system, a stable equilibrium hydraulic drive system and a self-feedback stable system is presented.
Patent
Data synchronization method of PC (Personnel Computer) end and mobile terminal based on hydraulic polling business
Mao Yingchi,Ai Yongping,Yi Kui,Xu Feng,Xiao Haibin,Zhou Xiaofeng,Wang Longbao,Qiu Xiaodi,Lu Ji,Chen Yaming,Chen Hao,Zhang Peng,Yu Jiyuan,Chi Fudong,Zhou Wenhuan,Tan Bin,Lyu Xing,Cao Xuexing +17 more
TL;DR: In this article, a data synchronization method of a PC (Personnel Computer) end and a mobile terminal based on hydraulic polling business is presented, which mainly comprises two parts of uploading polling data at the mobile terminal and downloading the polling data from the PC end.
Patent
Optimal step length and dynamic model selection based ultrahigh arch dam response prediction method
Ai Yongping,Yi Kui,Xiao Haibin,Qiu Xiaodi,Lu Ji,Chi Fudong,Chen Hao,Mao Yingchi,Zhou Xiaofeng,Wang Longbao,Jia Bicong,Xu Feng,Tan Bin,Yu Jiyuan,Cao Xuexing +14 more
TL;DR: In this article, an optimal step length and dynamic model selection based on ultra-high arch dam response prediction method is proposed, which comprises the steps of: preprocessing data and determining error values and missing values in the data; using the optimal step lengths and an interpolation method to predict the data, selecting an optimal interpolation model according to absolute errors, and using sample data of the optimal steps and the optimal interpolations to predict a to-be-predicted stress value reflecting a working state of a ultrahigh ar dam.
Patent
Liquamatic type ship lift downstream quick butt joint method
Hu Yaan,Hu Xiaolin,Huang Qun,Li Xueyi,Wang Xin,Li Zhonghua,Xue Shu,Yan Xiujun,Liang Xiuhua,Fu Yunquan,Liu Jin,Wang Jiao,Wu Bo,Xu Xueyuan,Cheng Lu,Xiao Haibin,Cao Xuexing +16 more
TL;DR: In this article, a liquamatic type ship lift downstream quick-butt joint method was proposed to improve the performance of a ship lift in the case of too large downstream water level variation amplitude and insufficient running water depth in the ship compartment.
Patent
Similarity data clustering method for dam safety monitoring data
Mao Yingchi,Qian Jun,Lu Ji,Wang Longbao,Cao Hai,Tang Qingdi,Cao Xuexing,Yang Niandong,Jiang Jinlei,Ping Ping,Tan Bin,Zhang Haojiang,Liang Guofeng,Duan Yunchao,Sun Jianying +14 more
TL;DR: In this article, a similarity data clustering method for dam safety monitoring data is proposed, which comprises the following steps of separating a single measuring point sequence trend term from the high-frequency noise by utilizing an EMD algorithm, detecting the time sequence change points by adopting an inflection point detection method of a cumulative sum control graph, and splitting to obtain all subsequence sets; adopting a DTW distance measurement method for calculating the distance problem of the subsequence, and calculating the minimum value between the two pieces of subsequence data dynamically; and clustering the mined sub-time