HFCAS OpenIR

浏览/检索结果: 共42条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
An advanced plasma current tomography method based on Bayesian inference and neural networks for real-time application 期刊论文
PLASMA PHYSICS AND CONTROLLED FUSION, 2022, 卷号: 64
作者:  Liu, Zijie;  Luo, Zhengping;  Wang, Tianbo;  Huang, Yao;  Wang, Yuehang;  Yu, Qingze;  Rui, Wangyi;  Yuan, Qiping;  Xiao, Bingjia;  Li, Jiangang
收藏  |  浏览/下载:26/0  |  提交时间:2022/12/23
plasma current tomography  Bayesian inference  neural network  
Upgrade of the magnetic diagnostic system for restart of HT-6M operation 期刊论文
CHINESE PHYSICS B, 2022, 卷号: 31
作者:  Chen, Li-Xing;  Shen, Biao;  Chen, Da-Long;  Luo, Zheng-Ping;  Zhang, Zu-Chao;  Chen, Ying;  Wang, Yong;  Qian, Jin-Ping
收藏  |  浏览/下载:37/0  |  提交时间:2022/12/23
HT-6M  null field  magnetic measurement  high frequency calibration  
ELMs filaments extraction on divertor visible high-speed camera system of EAST 期刊论文
JOURNAL OF INSTRUMENTATION, 2022, 卷号: 17
作者:  Yan, Hailong;  Han, Xiaofeng;  Yang, Jianhua;  Hu, Jiahui;  Wang, Jichao
收藏  |  浏览/下载:39/0  |  提交时间:2022/12/23
Plasma diagnostics-high speed photography  Data processing methods  Pattern recognition  cluster finding  calibration and fitting methods  
Spatiotemporal dynamic characterization of the laser-induced plasma of a mixed material (WCCu) under variable ablation angles in a vacuum 期刊论文
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY, 2022
作者:  Wu, Huace;  Li, Cong;  Wu, Ding;  Liu, Shiming;  Hu, Zhenhua;  Feng, Chunlei;  Hai, Ran;  Ding, Fang;  Luo, Guangnan;  Ding, Hongbin
收藏  |  浏览/下载:37/0  |  提交时间:2022/12/22
Construction of Data Acquisition and Processing System for Diagnostics Based on TSN Fiber Network at ASIPP NBI System 期刊论文
FUSION SCIENCE AND TECHNOLOGY, 2022
作者:  Yu, Ling;  Xu, Yongjian;  Peng, Xufeng;  Liu, Wei;  Xie, Yahong
浏览  |  Adobe PDF(4606Kb)  |  收藏  |  浏览/下载:54/20  |  提交时间:2022/12/23
Electrostatic probes  Time Sensitive Network protocol  diagnostic technology  
Development of a compact torus injector system for central fuelling technology of EAST 期刊论文
JOURNAL OF INSTRUMENTATION, 2022, 卷号: 17
作者:  Zhao, Z. H.;  Lan, T.;  Kong, D. F.;  Ye, Y.;  Zhang, S. B.;  Zhuang, G.;  Zhang, X. H.;  Hu, G. H.;  Chen, C.;  Wu, J.;  Zhang, S.;  Qi, M. B.;  Li, C. H.;  Yang, X. M.;  Nie, L. Y.;  Wen, F.;  Zi, P. F.;  Li, L.;  Meng, F. W.;  Li, B.;  Dong, Q. L.;  Huang, Y. Q.
收藏  |  浏览/下载:31/0  |  提交时间:2022/12/23
Pulsed power  Plasma diagnostics - charged-particle spectroscopy  Plasma diagnostics - probes  
Beam orientation of EAST visible optical diagnostic using a robot-camera system 期刊论文
FUSION ENGINEERING AND DESIGN, 2021, 卷号: 173
作者:  Yang, Yang;  Xi, Xiaoliang;  Zhang, Xuanchen;  Lu, Kun;  Yao, Haifeng;  Qi, Minzhong;  Zhang, Qiong;  Cheng, Yong;  Wang, Qi;  Li, Yichao;  Fu, Jia;  Lyu, Bo
收藏  |  浏览/下载:72/0  |  提交时间:2021/11/15
Beam orientation  Robot-camera system  EAST  Diagnostic  Calibration  
Design of the radiation shield and collimator for neutron and gamma-ray diagnostics at EAST 期刊论文
FUSION ENGINEERING AND DESIGN, 2021, 卷号: 172
作者:  Chen, Weikun;  Hu, Liqun;  Zhong, Guoqiang;  Hong, Bing;  Zhou, Ruijie;  Li, Kai;  Huang, Liangsheng;  Cao, Hongrui
收藏  |  浏览/下载:82/0  |  提交时间:2021/11/15
Fusion neutron  Gamma-ray  Collimator  Radiation shield  Tokamak  
Error analysis and cazlibration of Langmuir probes embedded in ITER-like tungsten divertor on EAST 期刊论文
NUCLEAR MATERIALS AND ENERGY, 2021, 卷号: 27
作者:  Meng, L. Y.;  Xu, J. C.;  Liu, J. B.;  Wang, L.;  Qian, X. Y.;  Chen, L.;  Liu, X.;  Xu, G. S.;  Liang, R. R.;  Huang, J.;  Lan, H.;  Mao, S. T.;  Duan, Y. M.;  Li, A.;  Yu, L.;  Wang, P.;  Yang, Q. Q.;  Zhang, B.;  Wang, Y. M.
收藏  |  浏览/下载:48/0  |  提交时间:2021/08/31
Langmuir probe  Ablation  Error analysis  Calibration  EAST tokamak  
Disruption prediction and model analysis using LightGBM on J-TEXT and HL-2A 期刊论文
Plasma Physics and Controlled Fusion, 2021, 卷号: 63
作者:  Zhong,Y;  Zheng,W;  Chen,Z Y;  Xia,F;  Yu,L M;  Wu,Q Q;  Ai,X K;  Shen,C S;  Yang,Z Y;  Yan,W;  Ding,Y H;  Liang,Y F;  Chen,Z P;  Tong,R H;  Bai,W;  Fang,J G;  Li,F
收藏  |  浏览/下载:55/0  |  提交时间:2021/06/21
disruption prediction  machine learning  LightGBM  feature importance