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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.
Kenichi Kurihara
Fusion Science and Technology | Volume 34 | Number 3 | November 1998 | Pages 548-552
Plasma Engineering (Poster Session) | doi.org/10.13182/FST98-A11963670
Articles are hosted by Taylor and Francis Online.
Current profile reproduction has been considered one of the key issues for control and evaluation of a tokamak plasma. Although magnetic measurements exterior to a plasma provide the most reliable data necessary for profile reproduction, the reproducibility from the magnetic measurements is unclear, and the regularization against numerical ill posedness improperly restricts reproducible profiles. To solve the inverse problem, at first, a new method is proposed for the current profile reproduction using a function expansion. Second, with the eigenfunctions in this method, a reproducibility check is analytically formulated. Finally, a new constraint for the plasma interior is derived from the MHD equilibrium equation. In the next step, this constraint must be included to enable reliable reproduction of current profile.