Hybrid Statistical–AI approach for RUL prediction of reactor protection system components

Accurate prediction of the Remaining Useful Life (RUL) of electronic components in nuclear Instrumentation and Control (I&C) systems is critical for ensuring the long-term reliability and safety of nuclear power plants (NPPs). This study presents an integrated experimental and computational framewor...

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Principais autores:	Jung Hwan Kim, Chang Hwoi Kim, Duckhyun Kim, Dongseong Shin, Inseok Jang, Joon Ha Jung, Sangchul Park
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-02-01
coleção:	Nuclear Engineering and Technology
Assuntos:	Remaining useful life prediction Reactor protection system Accelerated aging Statistical modeling Physics-informed AI Predictive maintenance
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1738573325005200
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