EAST discharge prediction without integrating simulation results

doi:10.1088/1741-4326/ac9c1a

	EAST discharge prediction without integrating simulation results
	Wan, Chenguang 1,2; Yu, Zhi 2; Pau, Alessandro 3; Liu, Xiaojuan 2; Li, Jiangang 1,2
刊名	NUCLEAR FUSION
	2022-12-01
卷号	62
关键词	discharge prediction machine learning tokamak
ISSN号	0029-5515
DOI	10.1088/1741-4326/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.
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关键词	NEURAL-NETWORKS ; IDENTIFICATION ; INSTABILITIES
WOS研究方向	Physics
语种	英语
出版者	IOP Publishing Ltd
WOS记录号	WOS:000883691100001
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
内容类型	期刊论文
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.Univ Sci & Technol China, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Inst Plasma Phys, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Eecole Polytech Feedeerale Lausanne EPFL, Swiss Plasma Ctr SPC, CH-1015 Lausanne, Switzerland
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).