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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.
Guillermo J. Cruz, Maria Guadalupe Olayo, Angel Flores, Samuel R. Barocio, Régulo López, Esteban Chávez, Leandro Meléndez
Fusion Science and Technology | Volume 39 | Number 1 | January 2001 | Pages 27-32
Technical Paper | doi.org/10.13182/FST01-A148
Articles are hosted by Taylor and Francis Online.
The evaluation of the electron temperature, density, and plasma potential in a glow cleaning discharge hydrogen plasma in the Novillo tokamak is presented. The objective was to investigate the plasma conditions allowing the removal of impurities from the vacuum vessel, thus avoiding the formation of other chemical compounds that could remain adhered to its inner walls. The discharges were accomplished through two anodes and one cathode within the 0.07 to 0.2-mbar-pressure interval at a power density in the range of 100 to 900 W/m2. The plasma parameters were obtained using Langmuir probes. The results indicated that the electron temperature lay between 3 and 10 eV, the electron density was approximately 108 to 109 cm-3, and the plasma potential was in the 10- to 18-V range. The electron energy was in the range of the dissociation energy for most impurities found in the Novillo tokamak.