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EAST discharge prediction without integrating simulation results

文献类型：期刊论文

作者Wan, Chenguang1,3; Yu, Zhi1; Pau, Alessandro2; Liu, Xiaojuan1; Li, Jiangang1,3
刊名NUCLEAR FUSION
出版日期2022-12-01
卷号62
关键词discharge prediction machine learning tokamak
ISSN号0029-5515
DOI10.1088/1741-4326/ac9c1a
通讯作者Wan, Chenguang(chenguang.wan@ipp.ac.cn) ; Li, Jiangang(j_li@ipp.ac.cn)
英文摘要In this work, a purely data-driven discharge prediction model was developed and tested without integrating any data or results from simulations. The model was developed based on the experimental data from the Experimental Advanced Superconducting Tokamak (EAST) campaign 2010-2020 discharges and can predict the actual plasma current I (p), normalized beta beta (n), toroidal beta beta (t), beta poloidal beta (p), electron density n (e), stored energy W (mhd), loop voltage V (loop), elongation at plasma boundary kappa, internal inductance l (i), q at magnetic axis q (0), and q at 95% flux surface q (95). The average similarities of all the selected key diagnostic signals between prediction results and the experimental data are greater than 90%, except for the V (loop) and q (0). Before a tokamak experiment, the values of actuator signals are set in the discharge proposal stage, with the model allowing to check the consistency of expected diagnostic signals. The model can give the estimated values of the diagnostic signals to check the reasonableness of the tokamak experimental proposal.
WOS关键词NEURAL-NETWORKS ; IDENTIFICATION ; INSTABILITIES
资助项目National Key RD project ; National MCF Energy RD Program ; Comprehensive Research Facility for Fusion Technology Program of China ; Swiss National Science Foundation ; [Y65GZ10593] ; [2018YFE0304100] ; [2018-000052-73-01-001228]
WOS研究方向Physics
语种英语
WOS记录号WOS:000883691100001
出版者IOP Publishing Ltd
资助机构National Key RD project ; National MCF Energy RD Program ; Comprehensive Research Facility for Fusion Technology Program of China ; Swiss National Science Foundation
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/130174]  
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.Chinese Acad Sci, Inst Plasma Phys, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Eecole Polytech Feedeerale Lausanne EPFL, Swiss Plasma Ctr SPC, CH-1015 Lausanne, Switzerland
3.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Wan, Chenguang,Yu, Zhi,Pau, Alessandro,et al. EAST discharge prediction without integrating simulation results[J]. NUCLEAR FUSION,2022,62.
APA Wan, Chenguang,Yu, Zhi,Pau, Alessandro,Liu, Xiaojuan,&Li, Jiangang.(2022).EAST discharge prediction without integrating simulation results.NUCLEAR FUSION,62.
MLA Wan, Chenguang,et al."EAST discharge prediction without integrating simulation results".NUCLEAR FUSION 62(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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