South Korea Develops AI Model for Prioritizing Post-Earthquake Inspections at Nuclear Facilities
A joint research team from the Korea Research Institute of Standards and Science (KRISS) and Ulsan National Institute of Science and Technology (UNIST) has developed a deep learning model that can assist nuclear facilities in rapidly identifying priority inspection areas after an earthquake. The model uses seismic wave signals collected from a single seismometer to predict in real time the vibration responses at multiple locations within a nuclear power plant and quantitatively ranks potential risks. The research was jointly conducted by the team of Jae-Beom Lee, senior researcher at KRISS, and Young-Ju Lee, professor at UNIST. The researchers stated that this technology can, without installing sensors at every critical location...
2026-08-26
