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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
Tomoyuki Senba, Satarou Yamaguchi, Shinsaku Imagawa, Nagato Yanagi, Takashi Satow, Jyunya Yamamoto, Osamu Motojima
Fusion Science and Technology | Volume 27 | Number 3 | April 1995 | Pages 571-574
New Trends and Advanced Concepts | doi.org/10.13182/FST95-A11962966
Articles are hosted by Taylor and Francis Online.
In helical experiment devices, the accuracy of their nonplanar coils affects plasma confinement properties significantly, so coil winding accuracy is one of the crucial issues for their construction. An advanced method for helical coil windings in fusion devices was studied. This new method utilizes a geometrical characteristic of the trajectory of the helical coil, which enables us to improve the accuracy of coils, and is thus expected to improve the mechanical, electromagnetic and superconducting properties of the coils. This paper presents the new concept of the winding method and practically shows the results of the R&D for the Large Helical Device (LHD).
