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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
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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On North Carolina's ratification of Senate Bill 266
I have been a North Carolinian for 62 years and involved in the state’s nuclear energy industry from my high school days to today. I have seen firsthand how North Carolina has flourished. This growth has been due to the state’s enterprising people and strong leaders. Clean, competitive, and always-on nuclear power has also played an important role.
Yuxuan Liu, Brendan Kochunas, Tat Nghia Nguyen, Hubert Ley, Richard Vilim
Nuclear Technology | Volume 208 | Number 12 | December 2022 | Pages 1832-1846
Technical Paper | doi.org/10.1080/00295450.2022.2092357
Articles are hosted by Taylor and Francis Online.
Advances in reducing operations and maintenance (O&M) costs are crucial to improving the viability of the nuclear energy industry. One of the important aspects to reduce the cost of maintenance activities in nuclear power plants is to automate equipment monitoring and fault diagnoses. As an inverse problem to fault diagnoses, finding a suitable population of sensors that enable a requisite degree of monitoring capability, preferably at low cost, is a prerequisite that ensures a successful monitoring and diagnosis capability. This work develops an optimization tool for the sensor assignment problem of thermal-hydraulic systems that minimizes the cost for a required diagnosing capability. The optimization is driven by a genetic algorithm (GA), with its parameters tuned by Bayesian optimization (BO). Compared to the conventional GA parameter-tuning approach based on experimental designs, the BO-tuned parameters show better performance for the test problem with various allocated computing resources. It is also verified that the BO-tuned parameters perform better for several problem variants based on the original test problem, which has practical values in meeting additional engineering goals in the sensor assignment process.