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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.
D. Stuenkel, James Paul Holloway, G. F. Knoll
Nuclear Science and Engineering | Volume 132 | Number 3 | July 1999 | Pages 261-272
Technical Paper | doi.org/10.13182/NSE99-A2062
Articles are hosted by Taylor and Francis Online.
A modified truncated singular value decomposition (MTSVD) is employed to unfold proton recoil pulse-height spectra into neutron energy spectra, using experimentally measured response functions. To illustrate the method, spectra from 252Cf and 239PuBe sources are unfolded. The relative error, defined in terms of the 1-norm, using the MTSVD method is found to be approximately half that of the truncated singular value decomposition for the 252Cf spectra. Relative errors for the 239PuBe spectra were approximately equal for the two methods. The method is limited by the precision of the measurement of the response functions and the pulse-height spectra. More precise measurements would allow the use of larger truncation parameters and are likely to result in more accurate reconstructed neutron spectra. The MTSVD method is particularly suited to real-time on-line unfolding of spectra.