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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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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.
Sri Sudadiyo
Nuclear Technology | Volume 211 | Number 4 | April 2025 | Pages 645-660
Review Article | doi.org/10.1080/00295450.2024.2352663
Articles are hosted by Taylor and Francis Online.
The mean time between failures (MTBF) estimation has been intensively investigated in recent years. MTBF can be used to decide on a maintenance strategy or inspection timeline intervals for the RSG-GAS reactor (or GAS multipurpose reactor). The RSG-GAS reactor is a pool-type reactor where light water is used as a moderator, coolant, and shielding. The purpose of this paper is to propose the nonhomogeneous Poisson process (NHPP) model to obtain the MTBF estimation value. Thus, the RSG-GAS reactor installation would have higher safety, a longer lifetime, and substantial reliability with a minor failure rate, including the subcomponents of the JE01-AP03 primary centrifugal pump.
In this research work, the methodology processes data accumulation and estimates the parameters of the NHPP model to determine the maintenance schedule or inspection timeline intervals based on the MTBF value when the confidence level reaches the targeted percentage. The results indicate that a MTBF estimation has been acquired for the RSG-GAS reactor installation. In the implemented case, an inspection timeline is defined for the JE01-AP03 primary centrifugal pump with a reliability growth value of 0.41 and a MTBF estimation circa 42 days.
