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2026 ANS Annual Conference
May 31–June 3, 2026
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.
T. Roger Billeter, R. R. Schemmel
Nuclear Technology | Volume 7 | Number 4 | October 1969 | Pages 374-382
Instrument | doi.org/10.13182/NT69-A28480
Articles are hosted by Taylor and Francis Online.
Microwave techniques, as used for the detection and measurement of moisture in reactor coolant gases, operate because of the resonant frequency change of a microwave cavity (sensor) through which the sample gas flows, due to the corresponding change in its dielectric constant. For the experimental system, a moisture detection sensitivity of 15 ppmv/µV for sample gas at STP results for 10 mW of microwave oscillator power. The minimum moisture detection level of about 2 ppmv depends upon total system noise. Gas transport time limits the speed of response, as does the time constant of the synchronous demodulator of the sample phase-lock amplifier. For thermal equilibrium conditions, the maximum instrument drift for a one-hour interval equates to an equivalent moisture concentration range of 10 ppmv.