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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.
Y. Yasaka, O. Sakai, Y. Ohe
Fusion Science and Technology | Volume 39 | Number 1 | January 2001 | Pages 91-96
Topical Review Lectures | doi.org/10.13182/FST01-A11963419
Articles are hosted by Taylor and Francis Online.
It is demonstrated that the transition leading to the improved radial confinement is induced by the end plate biasing in the HIEI tandem mirror, in which the plasma is MHD stabilized, heated, and axially confined by the ICRF waves. On application of the bias voltage, the fluctuation level decreases, the density increases to over 1013 cm−3, and the plasma rotation changes significantly indicating a formation of the internal transport barrier. The observed strong nonlinear phenomena; the hysteresis change of the fluctuation level and the neutral line emission intensity, demonstrate bifurcation feature, which is similar to that in the previous limiter biasing experiment. This bifurcation feature may be explained by the model from the azimuthal momentum balance including the flow shear stabilization of the drift wave instabilities.