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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 61 | Number 2 | February 2012 | Pages 357-364
Diagnostics | Proceedings of the Tenth Carolus Magnus Summer School on Plasma and Fusion Energy Physics | doi.org/10.13182/FST12-A13522
Articles are hosted by Taylor and Francis Online.
The ITER environment imposes many challenges for the various diagnostic systems. At the one hand diagnostic functionalities are required that go well beyond those at present devices. This is because there is a need to actively control (the profiles of) multiple plasma parameters, implying that measurement systems should be accurate and reliable. At the other hand the application of diagnostics at ITER is strongly hampered by constraints arising from the relatively harsh environmental conditions that give rise to phenomena that are new to the diagnostic designs. The nuclear environment puts stringent demands on the engineering and robustness of diagnostics, while the long pulse lengths require high stability of all systems. This paper will present an overview of the diagnostics for ITER with an additional glance in the further future.