Simulating nuclear fuel inspections: Enhancing reliability through synthetic data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00618107" target="_blank" >RIV/67985556:_____/25:00618107 - isvavai.cz</a>
Alternative codes found
RIV/26722445:_____/25:N0000093
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1738573325001391" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1738573325001391</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.net.2025.103571" target="_blank" >10.1016/j.net.2025.103571</a>
Alternative languages
Result language
angličtina
Original language name
Simulating nuclear fuel inspections: Enhancing reliability through synthetic data
Original language description
Visual inspection of nuclear fuel assemblies is critical for assessing fuel reliability and ensuring safe operation. However, the sensitivity of real inspection data, along with its inflexibility and high collection costs, limits its use for research and development (R&D) tasks. These challenges hinder the ability to test and validate new inspection methodologies, making innovation slow and expensive. To address these limitations, we propose the development of synthetic nuclear fuel datasets that simulate fuel assembly inspections. These data sets replicate various defects and degradations in fuel assemblies, providing a controlled environment for hypothesis testing, operator training, and the evaluation of automated inspection techniques. Unlike real-world data, synthetic data offers the advantage of known ground-truth parameters, allowing for rigorous testing and validation. This approach enables the continuous development of inspection technologies, regardless of hardware availability and operational outages in nuclear facilities. By reducing the reliance on costly real-world experiments, synthetic data offers a scalable and flexible solution for the advancement of nuclear fuel inspection methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nuclear Engineering and Technology
ISSN
1738-5733
e-ISSN
1738-5733
Volume of the periodical
57
Issue of the periodical within the volume
8
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
9
Pages from-to
103571
UT code for WoS article
001467697500001
EID of the result in the Scopus database
2-s2.0-105000260002