Optics and Precision Engineering, Volume. 33, Issue 11, 1818(2025)

Online detection of plate weld defects incorporating triple attention mechanism

Lingyuan MENG1, Yingjun LI1,2、*, Guicong WANG1,2, Yuan LIU1, Jialong GAO1, and Peng XU1
Author Affiliations
  • 1School of Mechanical Engineering, University of Jinan, Jinan250022, China
  • 2Shandong Provincial Key Laboratory of Sensor Technology and High Precision Weighing Instruments, Jinan50004, China
  • show less
    References(36)

    [1] 田小静. 工业机器人在航空工业中的应用[J]. 自动化与仪器仪表, 156-157, 160(2017).

         TIAN X J. The application of industrial robot in aviation industry[J]. Automation & Instrumentation, 2017, 156-157, 160.

    [2] JI Y K, GAO X D, LIU Q W et al. Weld defect recognition method with magneto-optical imaging based on convolutional neural network[J]. Chinese Journal of Scientific Instrument, 42, 107-113(2021).

         季玉坤, 高向东, 刘倩雯. 焊接缺陷磁光成像卷积神经网络识别方法[J]. 仪器仪表学报, 42, 107-113(2021).

    [3] MAGOGA T, FLOCKHART C. Effect of weld-induced imperfections on the ultimate strength of an aluminium patrol boat determined by the ISFEM rapid assessment method[J]. Ships and Offshore Structures, 9, 218-235(2014).

    [4] 金士杰, 张波, 王志诚. 自适应解卷积方法抑制管道TOFD周向扫查盲区[J]. 仪器仪表学报, 43, 227-234(2022).

         JIN SH J, ZHANG B, WANG ZH CH et al. Reducing dead zone for TOFD circumferential scan of pipeline by the adaptive deconvolution method[J]. Chinese Journal of Scientific Instrument, 43, 227-234(2022).

    [5] 周德强, 王俊, 张秋菊. 铁磁性构件缺陷的脉冲涡流检测传感机理研究[J]. 仪器仪表学报, 36, 989-995(2015).

         ZHOU D Q, WANG J, ZHANG Q J et al. Research on sensing mechanism of ferromagnetic component flaw using pulsed eddy current testing[J]. Chinese Journal of Scientific Instrument, 36, 989-995(2015).

    [6] 李华, 麻艳娜, 谷付星. 基于机器视觉的高精度微纳光纤直径实时测量[J]. 光学仪器, 44, 1(2022).

         LI H, MA Y N, GU F X. High-precision and real-time measurement of micro-nano fiber diameter based on machine vision[J]. Optical Instruments, 44, 1(2022).

    [7] 王蕾, 郭文平, 陈欣慰. 融合多尺度特征的蜗杆表面缺陷检测[J]. 光学 精密工程, 32, 1746-1758(2024).

         WANG L, GUO W P, CHEN X W et al. Worm surface defect detection with fusion of multi-scale features[J]. Optics and Precision Engineering, 32, 1746-1758(2024).

    [8] CAI X M, WANG W W. A method for detecting defects in steel pipe welds with improved YOLOv5[J]. Modular Machine Tool & Automatic Manufacturing Technique, 74-78(2023).

         蔡绪明, 王文武. 基于改进YOLOv5算法的钢管焊缝缺陷检测[J]. 组合机床与自动化加工技术, 74-78(2023).

    [9] LEI B J, YU A, WU ZH P et al. Improved small object detection algorithm based on YOLOv8n for UAV aerial photography[J]. Modern Electronics Technique, 48, 26-34(2025).

         雷帮军, 余翱, 吴正平. 改进YOLOv8n的无人机航拍小目标检测算法[J]. 现代电子技术, 48, 26-34(2025).

    [10] TANG X L, SHI L J, TAO L M et al. GCA-YOLO: an improved steel surface defect detection algorithm[J]. Journal of Hangzhou Normal University (Natural Science Edition), 24, 9-18(2025).

         唐湘龙, 石兰娟, 陶利民. GCA-YOLO: 一种改进的钢铁表面缺陷检测算法[J]. 杭州师范大学学报(自然科学版), 24, 9-18(2025).

    [11] HE M, WU J P, LIANG CH et al. Few-shot warhead fragment group object detection based on feature reassembly and attention[J]. Optics and Precision Engineering, 32, 1929-1940(2024).

         和萌, 武江鹏, 梁超. 融合特征重组和注意力的小样本战斗部破片群目标检测[J]. 光学 精密工程, 32, 1929-1940(2024).

    [12] LIU B B, HU Y G, YAN P et al. Improved YOLOv5s Algorithm for rotation object detection in remote sensing images[J]. Laser Journal, 45, 49-57(2024).

         刘冰冰, 胡耀国, 闫鹏. 改进YOLOv5s算法的遥感图像旋转目标检测[J]. 激光杂志, 45, 49-57(2024).

    [13] 梁青芳, 梁超琼, 郭晖. 基于改进YOLOv5的自然场景下异常变色松树检测方法[J]. 农业工程学报, 41, 165-174(2025).

         LIANG Q F, LIANG CH Q, GUO H et al. Detecting discolored pine trees under natural scenes using improved YOLOv5[J]. Transactions of the Chinese Society of Agricultural Engineering, 41, 165-174(2025).

    [14] ZHANG W K, LIU J. Steel surface defect detection based on improved YOLOv8s[J]. Journal of Beijing Information Science & Technology University (Science and Technology Edition), 38, 33-40(2023).

         张文铠, 刘佳. 基于改进YOLOv8s的钢材表面缺陷检测[J]. 北京信息科技大学学报(自然科学版), 38, 33-40(2023).

    [15] 赵向阳, 史再峰, 王云峰. 高精度轻量级的无人机航摄图像目标检测模型研究[J]. 激光与光电子学进展, 61, 2437010(2024).

         ZHAO X Y, SHI Z F, WANG Y F et al. High-precision and lightweight object detection model for drone aerial photography images[J]. Laser & Optoelectronics Progress, 61, 2437010(2024).

    [16] LU H, LIU W, YE Z et al. SAPA: Similarity-aware point affiliation for feature upsampling[J]. Advances in Neural Information Processing Systems, 35, 20889-20901(2022).

    [17] SUN X D, ZHU Q B, XU H W et al. MFL_YOLOv8 algorithm for surface defect detection of microfiber leather[J]. Optics and Precision Engineering, 33, 311-323(2025).

         孙小栋, 朱启兵, 徐华伟. 用于超纤革表面瑕疵识别的MFL_YOLOv8算法[J]. 光学 精密工程, 33, 311-323(2025).

    [18] QIU Z, ZHAO Z X, CHEN S J et al. Application of an improved YOLOv5 algorithm in real-time detection of foreign objects by ground penetrating radar[J]. Remote Sensing, 14, 1895(2022).

    [19] ZHANG H, ZHANG S. Shape-iou: More accurate metric considering bounding box shape and scale[J]. arXiv preprint arXiv:, 2023.

    [20] YAN ZH L, ZHONG SH CH, SUN J et al. Casting surface defect detection model based on CCD-YOLOv5 algorithm[J]. Special Casting & Nonferrous Alloys, 44, 1083-1089(2024).

         鄢之麟, 钟收成, 孙进. 基于CCD-YOLOv5算法的铸件表面缺陷检测模型[J]. 特种铸造及有色合金, 44, 1083-1089(2024).

    Tools

    Get Citation

    Copy Citation Text

    Lingyuan MENG, Yingjun LI, Guicong WANG, Yuan LIU, Jialong GAO, Peng XU. Online detection of plate weld defects incorporating triple attention mechanism[J]. Optics and Precision Engineering, 2025, 33(11): 1818

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 23, 2025

    Accepted: --

    Published Online: Aug. 14, 2025

    The Author Email: Yingjun LI (me_liyj@ ujn.edu.cn)

    DOI:10.37188/OPE.20253311.1818

    Topics