Real-time disruption prediction in the plasma control system of HL-2A based on deep learning-Reference-Cited by-同舟云学术

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Real-time disruption prediction in the plasma control system of HL-2A based on deep learning

Published:2022-09 Issue: Volume:182 Page:113223
ISSN:0920-3796
Container-title:Fusion Engineering and Design
language:en
Short-container-title:Fusion Engineering and Design

Author:

Yang Zongyu,Xia Fan,Song Xianming,Gao Zhe,Li Yixuan,Gong Xinwen,Dong Yunbo,Zhang Yipo,Chen Chengyuan,Luo Cuiwen,Li Bo,Zhu Xiaobo,Ji Xiaoquan,Li Yonggao,Liu Liang,Gao Jinming,Liu Yuhang

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering

Reference22 articles.

1. The ITER design

2. The ITER disruption mitigation trigger: developing its preliminary design

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent advance progress of HL-3 experiments;Nuclear Fusion;2024-09-02

2. Plasma nanotechnology: novel tool for high-performance electrode materials for energy storage and conversion;Reviews of Modern Plasma Physics;2023-10-07

3. Recent progress on deep learning-based disruption prediction algorithm in HL-2A tokamak;Chinese Physics B;2023-06-01

4. Recent progress on the control and mitigation of runaway electrons and disruption prediction in the HL-2A and J-TEXT tokamaks;Reviews of Modern Plasma Physics;2023-02-04

5. Performance Comparison of Machine Learning Disruption Predictors at JET;Applied Sciences;2023-02-03

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