Combined retrieval of multiple discharge signal waveforms based on distributed architecture
文献类型：期刊论文
| 作者 | Wang, Hao1,2,3 ; Ji, Zhenshan1; Yuan, Qiping1; Chen, Ying1; Hu, Wenhui1; Zhang, Ruirui1; Xiao, Bingjia1
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| 刊名 | FUSION ENGINEERING AND DESIGN
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 203 |
| 关键词 | East Tokamak Distributed system Waveform retrieval |
| ISSN号 | 0920-3796 |
| DOI | 10.1016/j.fusengdes.2024.114433 |
| 通讯作者 | Ji, Zhenshan(jizh@ipp.ac.cn) |
| 英文摘要 | Processing time-series data, such as discharge signal waveforms, is essential for conducting data analysis in tokamak discharge experiments. Typically, researchers manually identify and filter shots by observing waveforms, which can be a time-consuming task involving data preprocessing and classification. In addition, there is often no intuitive interface for complex retrieval of distinct characteristic waveforms. This study proposes a novel method for retrieving multiple discharge signal waveforms in tokamak discharge experimental data. This method leverages several waveform features, including the slope of waveform segments, drop distance of segment head (DDSH), and mean absolute error of segments (MAES). It also offers a strategy for optimizing waveform retrieval based on the waveform length and average DDSH value. The experimental results demonstrate an average reduction in waveform retrieval time of 39.9 %. Building upon this method, the study presents the design and implementation of a distributed discharge signal waveform retrieval platform within a visual environment. This platform has undergone preliminary deployment in the EAST tokamak for tasks such as data screening and abnormal waveform detection, highlighting its significant contribution to simplifying data analysis processes. |
| WOS关键词 | CLASSIFICATION |
| 资助项目 | National MCF Energy R & D Program of China[2018YFE0302100] ; National Natural Science Foundation of China[12075285] ; National Natural Science Foundation of China[12105320] ; National Natural Science Foundation of China[12005264] |
| WOS研究方向 | Nuclear Science & Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001295364500001 |
| 出版者 | ELSEVIER SCIENCE SA |
| 资助机构 | National MCF Energy R & D Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/136037]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Ji, Zhenshan |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230031, Peoples R China 3.Anhui Jianzhu Univ, Hefei 230022, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Hao,Ji, Zhenshan,Yuan, Qiping,et al. Combined retrieval of multiple discharge signal waveforms based on distributed architecture[J]. FUSION ENGINEERING AND DESIGN,2024,203. |
| APA | Wang, Hao.,Ji, Zhenshan.,Yuan, Qiping.,Chen, Ying.,Hu, Wenhui.,...&Xiao, Bingjia.(2024).Combined retrieval of multiple discharge signal waveforms based on distributed architecture.FUSION ENGINEERING AND DESIGN,203. |
| MLA | Wang, Hao,et al."Combined retrieval of multiple discharge signal waveforms based on distributed architecture".FUSION ENGINEERING AND DESIGN 203(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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