A support vector machine framework for fault detection in molecular pump
文献类型：期刊论文
| 作者 | Yuan, X. L.1 ; Kai, J.2; Chen, Y.1; Zuo, G. Z.1; Zhuang, H. D.1; Li, J. H.; Hu, J. S.1
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| 刊名 | JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY
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| 出版日期 | 2022-06-02 |
| ISSN号 | 0022-3131 |
| 关键词 | Fusion device fault detection molecular pump support vector machine |
| DOI | 10.1080/00223131.2022.2080124 |
| 通讯作者 | Yuan, X. L.(xlyuan@ipp.ac.cn) ; Hu, J. S.(hujs@ipp.ac.cn) |
| 英文摘要 | The molecular pump fault results in a vacuum leak that can lead to accidents in a fusion device. The fault detection for the molecular pump can provide an early warning to avoid a greater loss in a fusion device. This paper proposes a Support Vector Machine (SVM) framework for fault detection in a molecular pump. This study investigates the key technologies, framework, and system development methods of the data-driven fault detection system for a molecular pump. This study proposes a molecular pump test system to simulate the fault of a molecular pump to solve the highly unbalanced data problem and verify the framework availability. The packaged development framework, implemented in the test system, realizes the fault detection function. The developed system offers better practicability and can effectively detect perform faults in a molecular pump. The results obtained would support new ideas and methods for early warning in molecular pumps and pave the way for stable and reliable vacuum pump systems in a fusion device. |
| WOS关键词 | DIAGNOSIS ; DISCHARGE ; SYSTEMS |
| 资助项目 | National Nature Science Foundation of China[11905254] ; National Nature Science Foundation of China[11905138] ; National Nature Science Foundation of China[11905148] ; National Key Research and Development Program of China[2017YFE0301100] ; Maintenance and Renovation Program of Large Research Infrastructures of CAS[DSS-WXGZ-2020-0011] ; CASHIPS Director's Fund[YZJJ2019QN9] ; U.S. Dept. of Energy[DE-AC02-09CH11466] ; U.S. Dept. of Energy[DE-SC0016553] ; Excellence Program of Hefei Science Center CAS[2020HSC-UE010] |
| WOS研究方向 | Nuclear Science & Technology |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000805304600001 |
| 资助机构 | National Nature Science Foundation of China ; National Key Research and Development Program of China ; Maintenance and Renovation Program of Large Research Infrastructures of CAS ; CASHIPS Director's Fund ; U.S. Dept. of Energy ; Excellence Program of Hefei Science Center CAS |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/131153]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Yuan, X. L.; Hu, J. S. |
| 作者单位 | 1.Chinese Acad Sci, Inst Plasma Phys, Hefei 230031, Peoples R China 2.Anhui Polytech Univ, Sch Elect Engn, Wuhu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, X. L.,Kai, J.,Chen, Y.,et al. A support vector machine framework for fault detection in molecular pump[J]. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY,2022. |
| APA | Yuan, X. L..,Kai, J..,Chen, Y..,Zuo, G. Z..,Zhuang, H. D..,...&Hu, J. S..(2022).A support vector machine framework for fault detection in molecular pump.JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY. |
| MLA | Yuan, X. L.,et al."A support vector machine framework for fault detection in molecular pump".JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY (2022). |
入库方式： OAI收割
来源：合肥物质科学研究院
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