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Experiment data-driven modeling of tokamak discharge in EAST
Wan,Chenguang1,2; Yu,Zhi1; Wang,Feng1; Liu,Xiaojuan1; Li,Jiangang1,2
2021-04-29
发表期刊Nuclear Fusion
ISSN0029-5515
通讯作者Wan,Chenguang() ; Li,Jiangang()
摘要AbstractA neural network model of tokamak discharge is developed based on the experimental dataset of a superconducting long-pulse tokamak (EAST) campaign 2016–2018. The purpose is to reproduce the response of diagnostic signals to actuator signals without introducing additional physical models. In the present work, the discharge curves of electron density ne, stored energy Wmhd, and loop voltage Vloop were reproduced from a series of actuator signals. For ne and Wmhd, the average similarity between the modeling results and the experimental data achieve 89% and 97%, respectively. The promising results demonstrate that the data-driven methodology provides an alternative to the physical-driven methodology for tokamak discharge modeling. The method presented in the manuscript has the potential of being used for validating the tokamak’s experimental proposals, which could advance and optimize experimental planning and validation.
关键词tokamak discharge modeling machine learning
DOI10.1088/1741-4326/abf419
关键词[WOS]NEURAL-NETWORKS ; DISRUPTION PREDICTION ; IDENTIFICATION ; JET ; INSTABILITIES
收录类别SCI
语种英语
资助项目National Key RD project[Y65GZ10593] ; National MCF Energy RD Program[2018YFE0304100] ; Comprehensive Research Facility for Fusion Technology Program of China[2018-000052-73-01-001228]
项目资助者National Key RD project ; National MCF Energy RD Program ; Comprehensive Research Facility for Fusion Technology Program of China
WOS研究方向Physics
WOS类目Physics, Fluids & Plasmas
WOS记录号IOP:0029-5515-61-6-abf419
出版者IOP Publishing
引用统计
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/121850
专题中国科学院合肥物质科学研究院
通讯作者Wan,Chenguang; Li,Jiangang
作者单位1.Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
2.University of Science and Technology of China, Hefei, 230026, China
推荐引用方式
GB/T 7714
Wan,Chenguang,Yu,Zhi,Wang,Feng,et al. Experiment data-driven modeling of tokamak discharge in EAST[J]. Nuclear Fusion,2021,61.
APA Wan,Chenguang,Yu,Zhi,Wang,Feng,Liu,Xiaojuan,&Li,Jiangang.(2021).Experiment data-driven modeling of tokamak discharge in EAST.Nuclear Fusion,61.
MLA Wan,Chenguang,et al."Experiment data-driven modeling of tokamak discharge in EAST".Nuclear Fusion 61(2021).
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