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A defect detection method for fuel rod welds based on imbalanced convolution feature extraction
Special Topics of Academic Papers at The 27th Annual Meeting of the China Association for Science and Technology | 更新时间：2025-06-16

    • A defect detection method for fuel rod welds based on imbalanced convolution feature extraction

    • “In the field of nuclear safety, experts have designed an intelligent defect detection algorithm based on imbalanced convolution feature extraction, and constructed a YOLOv8n-WIOU Faster model with high detection accuracy and good real-time performance, providing innovative solutions for fuel rod defect detection.”
    • NUCLEAR TECHNIQUES   Vol. 48, Issue 6, Article number: 060004(2025)

    • DOI：10.11889/j.0253-3219.2025.hjs.48.250187    

      CLC： TL352;TP18;TP391.41

    • Received：28 April 2025，

      Revised：19 May 2025，

      Published：15 June 2025

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  • HUANG Fan,XIANG Bo,LI Ping,et al.A defect detection method for fuel rod welds based on imbalanced convolution feature extraction[J]. NUCLEAR TECHNIQUES,2025,48(06):060004. DOI： 10.11889/j.0253-3219.2025.hjs.48.250187. CSTR： 32193.14.hjs.CN31-1342/TL.2025.48.250187.

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Related Institution

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