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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.
Eriko Jotaki, Satoshi Itoh
Fusion Science and Technology | Volume 32 | Number 3 | November 1997 | Pages 487-492
Technical Paper | doi.org/10.13182/FST97-A10
Articles are hosted by Taylor and Francis Online.
A new data acquisition and analysis system for unexpected, rapid changes in plasma parameters has been developed. The scheme is designed for the high-temperature plasmas of long-time tokamak operation. The post trigger samples of conventional computer-automated measurement and control modules are utilized during a sudden event. The scheme of the method is described. This method is applied to the long discharges of the TRIAM-1M tokamak. The system works well for an unexpected and rapid termination of a discharge and could provide desired data. It is demonstrated that a new system with proper monitoring can track the unexpected, rapid changes in plasma parameters.