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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.
H. Takeno, M. Kume, S. Harada, Y. Yasaka, K. Ichimura, Y. Nakashima
Fusion Science and Technology | Volume 61 | Number 1 | January 2012 | Pages 125-128
Fusion | Proceedings of the Fifteenth International Conference on Emerging Nuclear Energy Systems | doi.org/10.13182/FST12-A13408
Articles are hosted by Taylor and Francis Online.
In order to investigate working characteristics of traveling wave direct energy converter (TWDEC) to flux with wide energy spread, the second-phase experiments of the research project using end-loss flux of GAMMA 10 were performed. The end-loss flux of the normal operation and that of the one-side plugging operation of GAMMA 10 were introduced to a bias-type TWDEC. The variation of effect of TWDEC operation was examined on relative phase difference between the modulator and the decelerator voltages. Both deceleration and acceleration effect were found according to the relative phase difference for the end-loss flux of both normal and one-side plugging operations.
