Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

Application Research of Artificial Intelligence in the Field of Nuclear Power Non-destructive Testing

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346433,
        author={Ying  Li and Yang  Zhang and Ting  Wang},
        title={Application Research of Artificial Intelligence in the Field of Nuclear Power Non-destructive Testing},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={artificial intelligence; machine learning; nuclear power; non-destructive testing},
        doi={10.4108/eai.15-3-2024.2346433}
    }
    
  • Ying Li
    Yang Zhang
    Ting Wang
    Year: 2024
    Application Research of Artificial Intelligence in the Field of Nuclear Power Non-destructive Testing
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346433
Ying Li1,*, Yang Zhang1, Ting Wang1
  • 1: CGN Inspection Technology Co., Ltd
*Contact email: liying322@foxmail.com

Abstract

The discipline of nuclear power non-destructive testing (NDT) has made a great deal use artificial intelligence technologies recently in an effort to produce safer, more effective, automated, and smarter NDT, to ensure the operational safety of nuclear power plants and to save costs. This paper introduces the relevant AI technologies regarding the domain of nuclear power NDT, and summarizes the typical applications of AI technologies in three aspects: metal supervision of conventional islands, in-service inspection of nuclear islands and improvement of NDT technology. Concludes by summarizing and suggesting possibilities for the advancement of AI in the domain of nuclear power NDT.