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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.
Masanori Hara, Miki Shoji, Tsukasa Aso
Fusion Science and Technology | Volume 76 | Number 3 | April 2020 | Pages 163-169
Technical Paper | doi.org/10.1080/15361055.2019.1661720
Articles are hosted by Taylor and Francis Online.
Liquid scintillation counters (LSCs) have been widely used for low-level tritium measurements. To obtain an accurate tritium activity using a LSC, a quenching correction is required. The quenching occurs from interruptions to the scintillation process (chemical quenching) and by absorption of scintillation photons by colored substances (color quenching). There is no common method for the correction of color quenching. Here, two-dimensional (2-D) scintillation spectra were measured with a conventional LSC connected to an external multichannel analyzer. The LSC had two photomultiplier tubes (PMTs). A 2-D spectrum was constructed from pulse heights from both PMTs. In a less-quenching cocktail, the 2-D scintillation spectra extended along a 45-deg line. However, the shape of the spectrum broadened with increasing color quenching and thus gave information about the color quenching. The effect of color quenching was qualitatively less significant in the relationship between the tritium counting efficiency and the quenching index parameter.