中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Wang, Jianye2; Xie, Min1
刊名Applied Soft Computing
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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