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

Author:

Yao Yuantao12ORCID,Wang Jin1,Long Pengcheng1ORCID,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

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

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