Optoelectronic Technology, Volume. 44, Issue 1, 54(2024)

Research on Deep Learning‑based Classification and Localization Algorithm for Photovoltaic Panel Defects

Xiaoxiong LIU and Qianying ZHENG
Author Affiliations
  • College of Physics and Information Engineering, Fuzhou University, Fuzhou350108, CHN
  • show less
    Figures & Tables(14)
    Image stitching process
    PV module segmentation process
    Schematic of MBConv module structure
    Schematic of MBConv module structure
    Feature detection results
    Feature matching results
    Image stitching results
    PV module segmentation process
    Photovoltaic component infrared images
    Various images of the dataset
    Acc curve diagram of training sets and test sets
    Defect classification and localization results
    • Table 1. Data distribution in datasets

      View table
      View in Article

      Table 1. Data distribution in datasets

      数据集类别数量
      训练集正常1 571
      热点缺陷1 469
      旁路电容短路1 172
      裂纹缺陷688
      测试集正常461
      热点缺陷440
      旁路电容短路331
      裂纹缺陷168
      验证集正常228
      热点缺陷217
      旁路电容短路171
      裂纹缺陷84
    • Table 2. Model evaluation indicators

      View table
      View in Article

      Table 2. Model evaluation indicators

      网络模型AccuracyPrecisionRecallF1
      ResNet1010.895 70.895 10.892 50.893 6
      MobileNet_V30.921 40.916 90.913 40.914 8
      RegNet0.908 50.902 90.903 40.902 8
      EfficientNet_B00.937 10.931 30.9320.931 1
    Tools

    Get Citation

    Copy Citation Text

    Xiaoxiong LIU, Qianying ZHENG. Research on Deep Learning‑based Classification and Localization Algorithm for Photovoltaic Panel Defects[J]. Optoelectronic Technology, 2024, 44(1): 54

    Download Citation

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

    Category:

    Received: Aug. 7, 2023

    Accepted: --

    Published Online: Jul. 18, 2024

    The Author Email:

    DOI:10.12450/j.gdzjs.202401010

    Topics