Estimation of plasma equilibrium parameters via a neural network approach
文献类型：期刊论文
| 作者 | Zhu, Zi-Jian1,3; Guo, Yong3 ; Yang, Fei2; Xiao, Bing-Jia1,3; Li, Jian-Gang1,3
|
| 刊名 | CHINESE PHYSICS B
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 28 |
| 关键词 | neural network fusion plasma equilibrium noise immunity |
| ISSN号 | 1674-1056 |
| DOI | 10.1088/1674-1056/ab55d1 |
| 通讯作者 | Yang, Fei(yangfei@ahmu.edc.cn) |
| 英文摘要 | Plasma equilibrium parameters such as position, X-point, internal inductance, and poloidal beta are essential information for efficient and safe operation of tokamak. In this work, the artificial neural network is used to establish a non-linear relationship between the measured diagnostic signals and selected equilibrium parameters. The estimation process is split into a preliminary classification of the kind of equilibrium (limiter or divertor) and subsequent inference of the equilibrium parameters. The training and testing datasets are generated by the tokamak simulation code (TSC), which has been bench-marked with the EAST experimental data. The noise immunity of the inference model is tested. Adding noise to model inputs during training process is proved to have a certain ability for maintaining performance. |
| WOS关键词 | IDENTIFICATION |
| 资助项目 | National Magnetic Confinement Fusion Energy R&D Program of China[2018YFE0302100] ; National Key Research and Development Program of China[2017YFE0300500] ; National Key Research and Development Program of China[2017YFE0300501] ; National Natural Science Foundation of China[11575245] ; National Natural Science Foundation of China[11805236] ; National Natural Science Foundation of China[11905256] ; Young and Middle-aged Academic Back-bone Finance Fund from Anhui Medical University |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000516544500004 |
| 出版者 | IOP PUBLISHING LTD |
| 资助机构 | National Magnetic Confinement Fusion Energy R&D Program of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; Young and Middle-aged Academic Back-bone Finance Fund from Anhui Medical University |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/103973]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yang, Fei |
| 作者单位 | 1.Univ Sci & Technol China, Dept Engn & Appl Phys, Hefei 230026, Peoples R China 2.Anhui Med Univ, Dept Med Informat Engn, Hefei 230026, Peoples R China 3.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Zi-Jian,Guo, Yong,Yang, Fei,et al. Estimation of plasma equilibrium parameters via a neural network approach[J]. CHINESE PHYSICS B,2019,28. |
| APA | Zhu, Zi-Jian,Guo, Yong,Yang, Fei,Xiao, Bing-Jia,&Li, Jian-Gang.(2019).Estimation of plasma equilibrium parameters via a neural network approach.CHINESE PHYSICS B,28. |
| MLA | Zhu, Zi-Jian,et al."Estimation of plasma equilibrium parameters via a neural network approach".CHINESE PHYSICS B 28(2019). |
入库方式： OAI收割
来源：合肥物质科学研究院
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