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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Hiroyuki Nakaharai, Takahiro Chuman, Takehiko Yokomine, Shinji Ebara, Akihiko Shimizu
Fusion Science and Technology | Volume 44 | Number 2 | September 2003 | Pages 364-368
Technical Paper | Fusion Energy - Tritium and Safety and Environment | doi.org/10.13182/FST03-A361
Articles are hosted by Taylor and Francis Online.
The safety analysis on LOVA is among the last task left in ITER R&D. On the assumption of LOVA after ICE, it is corollary that activated dusts are under wet condition. The transport behavior of dust under the wet condition is not known well in comparison with dry case even in the conventional engineering systems. Moreover, in the case of LOVA after ICE a shock wave is assumed to generate in the vacuum vessel. The purpose of this experimental study is to investigate the dust behavior under the wet condition including the interaction between shock wave and dust by supposition of LOVA. In this experiment, entrainment ratio and adhesion ratio of dust are measured and discussed. Thereby we understood the behavior of dust in the wet condition and report it.