中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共7条,第1-7条 帮助

条数/页: 排序方式:
Distributed Economic MPC for Synergetic Regulation of the Voltage of an Island DC Micro-Grid 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 734-745
作者:  
Yi Zheng;  Yanye Wang;  Xun Meng;  Shaoyuan Li;  Hao Chen
  |  收藏  |  浏览/下载:37/0  |  提交时间:2024/02/19
A grid-based tropospheric product for China using a GNSS network 期刊论文  OAI收割
JOURNAL OF GEODESY, 2018, 卷号: 92, 期号: 7, 页码: 765-777
作者:  
Zhang, Baocheng;  Li, Wei;  Yuan, Yunbin;  Zhang, Hongxing;  Ou, Jikun
  |  收藏  |  浏览/下载:46/0  |  提交时间:2018/12/29
Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models 期刊论文  OAI收割
COMPUTERS & GEOSCIENCES, 2013, 卷号: 60, 页码: 58-62
Liu, JunZhi(刘军志); Zhu, AX; Qin, CZ
收藏  |  浏览/下载:20/0  |  提交时间:2013/11/12
Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models SCI/SSCI论文  OAI收割
2013
Liu J. Z.; Zhu A. X.; Qin C. Z.
收藏  |  浏览/下载:32/0  |  提交时间:2014/12/24
Effects of space partitioning in a plant species diversity model 期刊论文  OAI收割
ECOLOGICAL MODELLING, 2013, 卷号: 251, 页码: 271-278
作者:  
Liao, Jinbao;  Li, Zhenqing;  Quets, Jan J.;  Nijs, Ivan
  |  收藏  |  浏览/下载:1/0  |  提交时间:2023/04/25
Incentive-based scheduling in Grid computing 期刊论文  OAI收割
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2006, 卷号: 18, 期号: 14, 页码: 1729-1746
作者:  
Zhu, Yanmin;  Xiao, Lijuan;  Xu, Zhiwei;  Ni, Lionel M.
  |  收藏  |  浏览/下载:21/0  |  提交时间:2019/12/16
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文  OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:  
Li W.;  Li W.;  Zhang H.;  Zhang H.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales  a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse  Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis  multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.