Presentation Information

[1B02]Early detection of in-core abnormalities in Na-cooled fast reactors based on data-driven acoustic diagnosis

*Yoshitaka Ueki1, Itsuki Hirako1, Kosuke Aizawa2, Kuniaki Ara1 (1. TUS, 2. JAEA)

Keywords:

Deep learning,Acoustic diagnostics,Boiling,CNN,Explainable AI

With the final goal of early detection and understanding of the transition of coolant boiling events in the core of Na fast reactors, the aim is to obtain and maintain basic knowledge necessary for developing anomaly detection technology associated with local anomalies in the core, and to demonstrate basic feasibility.

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