0618107 20260224155003.120250317235959.9 105000260002 001467697500001 10.1016/j.net.2025.103571 9 s. E cav_un_epca*03447651738-573357Korean Nuclear Society Synthetic data Nuclear fuel inspection Visual inspection Fuel assembly inspection Photogrammetry Inspection algorithms cav_un_auth*0446610 Knotek Jaroslav UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ 80 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0254045 Blažek Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ 10 S Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0446609 Kopeć M. CZ http://library.utia.cas.cz/separaty/2025/ZOI/knotek-0618107.pdf https://www.sciencedirect.com/science/article/pii/S1738573325001391 OP TAK GA MPO CZ cav_un_auth*0485131 StrategieAV21/1 AV ČR CZ cav_un_auth*0328930 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. WOS IN 20000 20200 20206 2026 3 RVO:67985556 https://hdl.handle.net/11104/0365155 cav_un_auth*0470336 Centrum výzkumu Řež s.r.o., Hlavní 130, Řež, 25068 Husinec, Czech Republic CZ S 103571 A NUCLEARSCIENCE&TECHNOLOGY 2.7 1 3.8 0.00768 0.502 7923 68 0.692 32.98 2.87 4150 Q2 2.300 547 Q1 84.1 1.32 Q1 84.1 2025 J 105000260002 SCOPUS PUBMED 001467697500001 WOS cav_un_epca*0344765 Nuclear Engineering and Technology 57 8 2025 1738-5733 1738-5733 Korean Nuclear Society