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Denver, CO|Sheraton Denver
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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.
R. A. Danofsky
Nuclear Science and Engineering | Volume 36 | Number 1 | April 1969 | Pages 28-38
Technical Paper | doi.org/10.13182/NSE69-A18854
Articles are hosted by Taylor and Francis Online.
A space-dependent noise formulation is developed on the basis of the modal-analysis technique. Application of the method is illustrated by numerical calculations carried out for a one-dimensional model of a coupled-core Argonaut type reactor. It has been found that the suggested method may be readily used to calculate the auto- or cross-spectral-density functions of the neutron-level fluctuations for any of the group fluxes of a multienergy group calculation when the system is subjected to arbitrary stochastic input functions. Results obtained from the numerical calculations serve to illustrate the importance of the space dependence of the spectral functions and in particular the sensitivity of the cross-spectral-density function to the two points of observation.