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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共18条,第1-10条 帮助

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UPVnet: A Neural Network for First-Arrival Picking in Ultrasonic Pulse Velocity Testing on Rock Samples 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 17
作者:  
Luo, Yujie;  Hu, Dawei;  Yang, Fujian;  Zhou, Hui
  |  收藏  |  浏览/下载:12/0  |  提交时间:2025/06/27
High-resolution multimode surface-wave dispersion spectrum imaging with a multichannel signal comparison method 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 卷号: 64, 期号: 5, 页码: 1710-1720
作者:  
Yi Jia;  Liu YiKe;  Hu Hao;  Zhang YuShan;  Yang ZongQi
  |  收藏  |  浏览/下载:47/0  |  提交时间:2021/10/19
Influences of group velocity dispersion on ultrafast pulse shaping in time lens 期刊论文  OAI收割
PHYSICA SCRIPTA, 2019, 卷号: 94, 期号: 12
作者:  
Xie, Peng;  Wen, Yu;  Wan, Zishen;  Wang, Yishan
  |  收藏  |  浏览/下载:190/0  |  提交时间:2019/09/27
Improved sensing of vertical velocity for vertical position control using loop voltage signals on EAST 期刊论文  OAI收割
FUSION ENGINEERING AND DESIGN, 2019, 卷号: 138, 期号: 无, 页码: 170-174
作者:  
Liu, Lei;  Xiao, Bingjia;  Mueller, Dennis;  Yuan, Qiping
  |  收藏  |  浏览/下载:35/0  |  提交时间:2020/05/21
Dynamic process of the massive Xinmo landslide, Sichuan (China), from joint seismic signal and morphodynamic analysis 期刊论文  OAI收割
Bulletin of Engineering Geology and the Environment, 2018, 页码: DOI:10.1007/s10064-018-1360-0
作者:  
Xiuqiang Bai;  Jihao Jian
  |  收藏  |  浏览/下载:58/0  |  提交时间:2018/09/03
Application of SPAC method to estimate the crustal S-wave velocity structure 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2013, 卷号: 56, 期号: 11, 页码: 3846-3854
作者:  
  |  收藏  |  浏览/下载:47/0  |  提交时间:2018/09/26
Application of SPAC method to estimate the crustal S-wave velocity structure 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2013, 卷号: 56, 期号: 11, 页码: 3846-3854
作者:  
Xu Pei-Fen;  Li Shi-Hao;  Ling Su-Qun;  Guo Hui-Li;  Tian Bao-Qing
  |  收藏  |  浏览/下载:44/0  |  提交时间:2018/09/26
Application of SPAC method to estimate the crustal S-wave velocity structure 期刊论文  OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2013, 卷号: 56, 期号: 11, 页码: 3846-3854
作者:  
Xu Pei-Fen;  Li Shi-Hao;  Ling Su-Qun;  Guo Hui-Li;  Tian Bao-Qing
  |  收藏  |  浏览/下载:23/0  |  提交时间:2018/09/26
Research on velocity servo-based hybrid position/force control scheme for a grinding robot 会议论文  OAI收割
2nd International Conference on Mechatronics and Intelligent Materials 2012, MIM 2012, GuiLin, China, May 18-19, 2012
作者:  
Zhang QW(张庆伟);  Han LL(韩利利);  Xu F(徐方);  Jia K(贾凯)
收藏  |  浏览/下载:59/0  |  提交时间:2012/12/28
Analyse the angular velocity estimation errors of -- filter based on high sampling rate (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:  
Zhang Y.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
In order to get angular velocity of stabilization servo mechanism from angular position sensors  -- filter based on high sampling rate was established  model and error characteristics were analyzed. With the hypothesis of constant acceleration  -- filter and its angular velocity transfer function were deduced. Combing with optimum parameters  the effects of and sample rate on the error characteristics were evaluated. According to the requirements of stabilization servo mechanism  the frequency characteristics of angular velocity transfer function are analyzed  and the filter parameters are designed. The experimental which filter tracked and smoothed sinusoidal signal  the results show that when the cutoff frequency of angular velocity loop is 44.9rad/s  sampling period and parameters are 0.08ms and 0.01279 respectively  the phase leading of angular position is 70. -- filter tracked sinusoidal signals with maximum angular velocity(30/s) and maximum angular acceleration(30/s2)  the error of angular velocity estimation was 0.053/s. In the engineering of electro-optical stabilization servo mechanism  -- filter can reduce noise effectively  and reached the requirement of platform angular velocity estimation. Also it is one of the effective methods to get angular velocity from angular position sensors. 2011 IEEE.