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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. Krämer-Flecken
Fusion Science and Technology | Volume 61 | Number 2 | February 2012 | Pages 376-383
Diagnostics | Proceedings of the Tenth Carolus Magnus Summer School on Plasma and Fusion Energy Physics | doi.org/10.13182/FST12-A13524
Articles are hosted by Taylor and Francis Online.
The measurement of plasma quantities is a difficult task since the plasma cannot be treated like normal material. Any measurement of plasma quantities with solid probes will yield interactions with the plasma and causes a perturbation of the measured quantity. Inside a hot plasma those methods are not applicable, since they lead to a disruption of the discharge. In addition microwave diagnostics have no big needs in terms of space requirements if coupled to a plasma. Mirrors needed for the most optical diagnostics will become a problem due to erosion and deposition of the mirror surfaces in future fusion devices as ITER and DEMO. Also in this sense microwave diagnostics are less demanding. However, this puts some pressure on a future generation of scientist to develop new methods to replace optical based diagnostics by those using microwaves to probe the plasma.