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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.
N. Kaidou et al. (19P28)
Fusion Science and Technology | Volume 51 | Number 2 | February 2007 | Pages 292-294
Technical Paper | Open Magnetic Systems for Plasma Confinement | doi.org/10.13182/FST07-A1379
Articles are hosted by Taylor and Francis Online.
In order to extensively and simultaneously analyze frequencies of fluctuations of the end-loss ion current, we prepared three types of analog-to-digital converters (ADC) whose sampling frequencies are 62.5 kHz, 333 kHz and 64 MHz, respectively. The low and intermediate frequency ADCs have 20 channels. The high frequency ADC has a single channel and analyzes the summed signal of the MCP detector. We observed the fluctuations of Alfvén ion cyclotron (AIC) mode and the beat phenomenon appeared in the end-loss ion current. On the energy distribution functions of the end-loss ion, we have already observed the gentle humps. We found the relation between the gentle humps and the AIC waves observed in the end-loss ion current, and confirmed by the pitch angle analysis of the beat fluctuation that the AIC waves significantly influenced the trapped ion to transport into the loss region.