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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.
S. Yamamoto, K. Nagasaki, Y. Suzuki, T. Mizuuchi, H. Okada, S. Kobayashi, B. Blackwell, K. Kondo, G. Motojima, N. Nakajima, Y. Nakamura, C. Nührenberg, Y. Torii, S. Watanabe, F. Sano
Fusion Science and Technology | Volume 51 | Number 1 | January 2007 | Pages 92-96
Technical Paper | Stellarators | doi.org/10.13182/FST07-A1290
Articles are hosted by Taylor and Francis Online.
Two kinds of magnetohydrodynamics instability are observed in electron cyclotron heating and neutral beam injection-heated Heliotron J plasmas. One is the pressure-driven interchange modes with m = 2/n = 1 and m = 5/n = 3 and low frequency (fexp < 20 kHz), which are observed in the plasma with a rational surface of /2 = 0.5 or 0.65. The other is the energetic ion-driven global Alfvén eigenmodes (GAEs) in the Alfvén frequency range. To identify the observed GAEs, the frequency of the observed mode with shear Alfvén spectra calculated by CAS3D3 is compared. The interchange mode with m = 5/n = 3 and bursting GAE with intense magnetic fluctuations may affect the bulk plasma confinement and energetic ion transport, respectively.
