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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.
W. Seifritz
Nuclear Science and Engineering | Volume 49 | Number 3 | November 1972 | Pages 358-369
Technical Paper | doi.org/10.13182/NSE72-A22548
Articles are hosted by Taylor and Francis Online.
A theory for determining the ratio of the prompt to the delayed neutronic response, Wp/Wd, of a self-powered vanadium detector using methods of stochastic processes are described. Experimental data are also presented. The technique makes use of the inherent reactor noise; it is based upon cross correlating the fluctuating detector current signals from the actual vanadium detector and from a (purely prompt responding) cobalt self-powered detector, both of which are located in a power reactor close to each other. Both the analysis in the time domain and in the frequency domain were used to extract the ratio Wp/Wd. The measurements were performed at the Halden Boiling Water Reactor at 7 MW(th) and the ratio Wp/Wd of a commercial vanadium detector has been determined to be (6.5 ± 0.35)%. The technique described offers several advantages over the commonly used transient measuring method.