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What is Explainable ML for Nuclear PdM Systems about?

This paper discusses the development of explainable machine learning (ML) tools for predictive maintenance (PdM) of circulating water systems in nuclear power plants. It highlights the importance of explainability in ML applications to overcome barriers in the nuclear industry and presents a user-centric approach for designing explainable AI systems. The research aims to enhance the understanding and trust in ML models by integrating human factors and contextual considerations into the PdM strategy.

Author

emmalynlate

Language

EN