Zobrazeno 1 - 10
of 273
pro vyhledávání: '"J-TEXT"'
Autor:
Chengshuo Shen, Wei Zheng, Bihao Guo, Yonghua Ding, Dalong Chen, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Biao Shen, Binjia Xiao, Zhongyong Chen, Yuan Pan, J-TEXT Team
Publikováno v:
Nuclear Fusion, Vol 64, Iss 6, p 066036 (2024)
The high acquisition cost and the significant demand for disruptive discharges for data-driven disruption prediction models in future tokamaks pose an inherent contradiction in disruption prediction research. In this paper, we demonstrated a novel ap
Externí odkaz:
https://doaj.org/article/a7be386e2908497697a8c5ff15fa6331
Autor:
Y. Zhong, W. Zheng, Z.Y. Chen, W. Yan, F. Xia, L.M. Yu, F.M. Xue, C.S. Shen, X.K. Ai, Z.Y. Yang, Y.L. Yu, Z.S. Nie, Y.H. Ding, Y.F. Liang, Z.P. Chen, J-TEXT Team
Publikováno v:
Nuclear Fusion, Vol 64, Iss 9, p 096012 (2024)
Unmitigated disruptions pose a much more serious threat when large-scale tokamaks are operating in the high performance regime. Machine learning based disruption predictors can exhibit impressive performance. However, their effectiveness is based on
Externí odkaz:
https://doaj.org/article/8243cddb64dc49239d8261231878eb8d
Autor:
Da Li, Mao Li, Yonghua Ding, Nengchao Wang, Bo Rao, Ying He, Feiyue Mao, Chengshuo Shen, Ruo Jia, Song Zhou, Zhengkang Ren, Chuanxu Zhao, Abba Alhaji Bala, Zhipeng Chen, Zhongyong Chen, Zhoujun Yang, Lin Yi, Kexun Yu, J-TEXT Team
Publikováno v:
AIP Advances, Vol 12, Iss 12, Pp 125210-125210-11 (2022)
The rotating resonant magnetic perturbation (RMP) could lock the tearing mode (TM) and prevent disruption. It is found that the TM instantaneous frequency oscillates during TM locking on the RMP. In this work, the TM frequency oscillation was derived
Externí odkaz:
https://doaj.org/article/ed808176c9a94ee282a155b15e8e61a7
Autor:
Kangzhong Xu, Hai Liu, Yuhong Xu, Zhipeng Chen, Jun Cheng, Haifeng Liu, Xianqu Wang, Jie Huang, Xin Zhang, Changjian Tang, Junren Shao, J-TEXT Team
Publikováno v:
AIP Advances, Vol 12, Iss 1, Pp 015315-015315-7 (2022)
Due to the presence of capacitance in the transmission line, the current collected by the retarding field analyzer (RFA) becomes asymmetrical (i.e., hysteresis) during voltage scanning, and it further affects the measurement of the ion temperature (T
Externí odkaz:
https://doaj.org/article/cd393305cbfe404fa8b2205524e23b88
Autor:
Junli Zhang, Peter C de Vries, Kazunobu Nagasaki, Donghui Xia, Wei Jiang, Zhoujun Yang, Zhifeng Cheng, Li Gao, Xin Xu, Zhijiang Wang, Nengchao Wang, Yonghua Ding, Zhipeng Chen, Zhongyong Chen, Yuan Pan, J-TEXT Team
Publikováno v:
Nuclear Fusion, Vol 63, Iss 7, p 076028 (2023)
Second harmonic X-mode (X2 mode) electron cyclotron heating (ECH) assisted start-up has been studied experimentally on the J-TEXT device to determine the minimum ECH power requirements to assist breakdown and develop a better physical description of
Externí odkaz:
https://doaj.org/article/4f0b9279872242ba89e5523a7a67407c
Autor:
C. Shen, W. Zheng, Y. Ding, X. Ai, F. Xue, Y. Zhong, N. Wang, L. Gao, Z. Chen, Z. Yang, Y. Pan, J-TEXT team
Publikováno v:
Nuclear Fusion, Vol 63, Iss 4, p 046024 (2023)
Disruption prediction has made rapid progress in recent years, especially in machine learning (ML)-based methods. If a disruption prediction model can be interpreted, it can tell why certain samples are classified as disruption precursors. This allow
Externí odkaz:
https://doaj.org/article/aa297b15b1d848fc9f842972c1bfd478
Autor:
Junli Zhang, Zhifeng Cheng, Yanli Peng, Zhoujun Yang, Kazunobu Nagasaki, Nengchao Wang, Hao Cai, Yonghua Ding, Zhipeng Chen, Zhongyong Chen, Wei Jiang, Donghui Xia, Zhijiang Wang, Yuan Pan, J-TEXT team
Publikováno v:
Nuclear Fusion, Vol 63, Iss 6, p 066012 (2023)
Start-up is one of the critical phases for tokamak discharge. The electron drift injection (EDI) system has been developed on J-TEXT for start-up studies. A breakdown experiment with EDI-assisted start-up has been conducted, which verified the effect
Externí odkaz:
https://doaj.org/article/6c550fe1340041e1ae2de4a24664ef89
Autor:
Shen, Chengshuo, Li, Jianchao, Ding, Yonghua, Dong, Jiaolong, Wang, Nengchao, Han, Dongliang., Mao, Feiyue, Li, Da, Chen, Zhipeng, Yang, Zhoujun, Chen, Zhongyong, Pan, Yuan, Team, J-Text
Measurement of locked mode (LM) is important for the physical research of Magnetohydrodynamic (MHD) instabilities and plasma disruption. The n = 0 pick-up need to be extracted and subtracted to calculate the amplitude and phase of the LM. A new metho
Externí odkaz:
http://arxiv.org/abs/2311.13763
Autor:
Ai, Xinkun, Zheng, Wei, Zhang, Ming, Ding, Yonghua, Chen, Dalong, Chen, Zhongyong, Shen, Chengshuo, Guo, Bihao, Wang, Nengchao, Yang, Zhoujun, Chen, Zhipeng, Pan, Yuan, Shen, Biao, Xiao, Binjia, team, J-TEXT
In the initial stages of operation for future tokamak, facing limited data availability, deploying data-driven disruption predictors requires optimal performance with minimal use of new device data. This paper studies the issue of data utilization in
Externí odkaz:
http://arxiv.org/abs/2311.10368
Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation
Autor:
Shen, Chengshuo, Zheng, Wei, Guo, Bihao, Ding, Yonghua, Chen, Dalong, Ai, Xinkun, Xue, Fengming, Zhong, Yu, Wang, Nengchao, Shen, Biao, Xiao, Binjia, Chen, Zhongyong, Pan, Yuan, team, J-TEXT
The high acquisition cost and the significant demand for disruptive discharges for data-driven disruption prediction models in future tokamaks pose an inherent contradiction in disruption prediction research. In this paper, we demonstrated a novel ap
Externí odkaz:
http://arxiv.org/abs/2309.05361