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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.
M. Isobe, M. Osakabe, T. Ozaki, M. Nishiura, P. V. Goncharov, E. Veshchev, K. Ogawa, K. Nagaoka, K. Saito, S. Murakami, T. Saida, M. Sasao, K. Toi, LHD Experiment Group
Fusion Science and Technology | Volume 58 | Number 1 | July-August 2010 | Pages 426-435
Chapter 8. Diagnostics | Special Issue on Large Helical Device (LHD) | doi.org/10.13182/FST10-A10828
Articles are hosted by Taylor and Francis Online.
To aid understanding of physics related to fast ions in the Large Helical Device (LHD) with a three-dimensional shape, a comprehensive set of fast-particle diagnostics has been developed. Fast ions (H+) have been created by neutral beam injection and ion cyclotron resonance heating in LHD discharges. Intense fast-ion populations not only heat the bulk plasma but also drive collective instabilities under certain experimental conditions. Fast-ion experiments on LHD have been conducted to investigate neoclassical confinement of fast ions and issues on anomalous transport of fast ions induced by fast-ion-driven instabilities. This paper reviews fast-particle diagnostics that are essential for study of fast-ion physics on LHD.