Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment-Reference-Cited by-同舟云学术

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

Published:2020-03-17 Issue:7 Volume:44 Page:5841-5855
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Yao Yuantao¹²^ORCID,Wang Jin¹,Long Pengcheng¹^ORCID,Xie Min³,Wang Jianye¹

Affiliation:

1. Key Laboratory of Neutronics and Radiation SafetyInstitute of Nuclear Energy Safety Technology, Chinese Academy of Sciences Hefei China

2. Science Island Branch of Graduate SchoolUniversity of Science and Technology of China Hefei, Anhui 230027 China

3. Department of Systems Engineering and Engineering ManagementCity University of Hong Kong Kowloon Hong Kong

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.5348

Reference35 articles.

1. Development and application of virtual nuclear power plant in digital society environment

2. World Nuclear Association. Small Nuclear Power Reactors.https://www.world-nuclear.org/information-library/nuclear-fuel-cycle/nuclear-power-reactors/small-nuclear-power-reactors.aspx.Published June 2016. Updated December2019

3. Harmonizing nuclear and renewable energy: case studies;Kim JH;Int J Energy Res,2019

4. Applications of fault detection and diagnosis methods in nuclear power plants: A review

5. The state of nuclear power two years after Fukushima – The ASEAN perspective

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intelligent multi-severity nuclear accident identification under transferable operation conditions;Annals of Nuclear Energy;2024-06

2. Application of the artificial intelligence system based on graphics and vision in ethnic tourism of subtropical grasslands;Heliyon;2024-06

3. Digital twin challenges and opportunities for nuclear fuel manufacturing applications;Nuclear Engineering and Design;2024-04

4. Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems;Energy;2024-03

5. Enhancing prediction accuracy for LOCA break sizes in nuclear power plants: A hybrid deep learning method with data augmentation and hyperparameter optimization;Annals of Nuclear Energy;2024-02