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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.
A. J. H. Donné
Fusion Science and Technology | Volume 53 | Number 2 | February 2008 | Pages 379-386
Technical Paper | Diagnostics | doi.org/10.13182/FST08-A1723
Articles are hosted by Taylor and Francis Online.
Plasma diagnostics are based on a multitude of different physical processes with wavelengths in the range from sub-nm to tens of cm. Many different techniques are being employed for measuring the spatial profile and evolution of various plasma parameters. Although most of them are already well established, plasma diagnostics is still a very challenging and vivid discipline. On the one hand this is caused by the always-continuing effort to attain a better spatial and temporal resolution, to reach higher accuracies and to measure with more spatial channels. On the other hand diagnostic techniques based on more subtle physical processes (than used in the routine diagnostics) are continuously being developed. This paper will give a brief introduction into the field of plasma diagnostics.