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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.
G. Y. Kwak, Y. S. Choi, Y. H. Jung, K.-S. Chung, J. G. Bak, S. G. Lee
Fusion Science and Technology | Volume 43 | Number 1 | January 2003 | Pages 277-279
Diagnostics | doi.org/10.13182/FST03-A11963613
Articles are hosted by Taylor and Francis Online.
A plasma flow velocity was measured by using a Much probe in the central cell of Hanbit magnetic mirror device. The Much probe was attached on the fast injection probe system, which can scan the central cell chamber of Hanbit device in the radial direction. The fast injection probe system also has an emissive probe so that the radial profile of the plasma potential is measured simultaneously. Therefore, the flow velocity measured from the Mach probe can be directly compared with Er×B drift calculated from the measured plasma potential profile. The experimental results are analyzed by using existing theories of the Mach probe. The measured flow velocity shows about 3 km/s, and the flow direction and magnitude is approximately the same as the Er×B drift velocity.