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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.
C. Smidts
Nuclear Science and Engineering | Volume 112 | Number 2 | October 1992 | Pages 114-126
Technical Paper | doi.org/10.13182/NSE92-A28408
Articles are hosted by Taylor and Francis Online.
An example is given to illustrate the probabilistic reactor dynamics theory developed earlier. A reservoir with two output valves is considered in which the valves are subject to random failures. The operator must maintain the tank pressure within an upper and a lower bound whatever the initial system state may be. A complete description is given of the physical system, of the instrumentation, and of the human model that was selected to describe the operator’s behavior. The results are expressed in terms of state occupation probabilities and mean exit times. A Monte Carlo algorithm is briefly described.