Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors
文献类型:期刊论文
作者 | Yao, Yuantao2![]() ![]() |
刊名 | Applied Soft Computing
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出版日期 | 2022-01 |
语种 | 英语 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/133267] ![]() |
专题 | 合肥物质科学研究院_中国科学院核能安全技术研究所 |
通讯作者 | Yao, Yuantao |
作者单位 | 1.Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong 2.Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, 230031, PR China |
推荐引用方式 GB/T 7714 | Yao, Yuantao,Wang, Jianye,Xie, Min. Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors[J]. Applied Soft Computing,2022. |
APA | Yao, Yuantao,Wang, Jianye,&Xie, Min.(2022).Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors.Applied Soft Computing. |
MLA | Yao, Yuantao,et al."Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors".Applied Soft Computing (2022). |
入库方式: OAI收割
来源:合肥物质科学研究院
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