Journal of Applied Optics, Volume. 44, Issue 2, 314(2023)

Electroluminescence image enhancement technology of half-cut photovoltaic module based on DCGANs

Xiang HE1,2、*
Author Affiliations
  • 1National PV Industry Measurement and Testing Center, Fujian Metrology Institute, Fuzhou 350003 China
  • 2Fujian Key Laboratory of Energy Measurement, Fuzhou 350003, China
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    Figures & Tables(16)
    Schematic diagram of GAN
    Structure diagram of generator
    Structure diagram of discriminator
    EL images generated during training and captured EL images
    Comparison of generated images before and after attribute control
    Generated EL images
    Captured EL images
    Change curve of MSE, PSNR, MS-SSIM indexes with training steps
    Structure diagram of model
    Change curve of accuracy of test set with the number of generated images in training set
    • Table 1. Specific types and quantity of training samples

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      Table 1. Specific types and quantity of training samples

      缺陷类型样本数量
      隐裂线性隐裂387
      交叉状裂228
      断栅/345
      破角/132
      虚焊平行主栅暗块194
      边缘条状暗块127
      角落单块暗块136
      正常无缺陷/200
    • Table 2. Attribute control of normal no-defect images

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      Table 2. Attribute control of normal no-defect images

      a右上存在倒角图像数量右上不存在倒角图像数量
      096104
      11946
      22000
      −112188
      −20200
    • Table 3. Attribute control of false soldering-corner single dark block images

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      Table 3. Attribute control of false soldering-corner single dark block images

      a右上存在暗块图像数量右上不存在暗块图像数量
      067133
      11964
      22000
      −115185
      −20200
    • Table 4. Controllable image attributes

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      Table 4. Controllable image attributes

      缺陷类型可控制的图像属性
      隐裂线性隐裂倒角位置
      交叉状隐裂倒角位置
      断栅/倒角位置
      破角/倒角位置、破角位置(四角)
      虚焊平行主栅暗块倒角位置、暗块位置(位于某主栅处)
      边缘条状暗块倒角位置、暗块位置(位于左或右)
      角落单块暗块倒角位置、暗块位置(位于四角)
      正常无缺陷/倒角位置
    • Table 5. MS-SSIM values of generated EL images and captured EL images

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      Table 5. MS-SSIM values of generated EL images and captured EL images

      图像类型MS-SSIM
      线性隐裂0.6929
      交叉状隐裂0.6818
      断栅0.6960
      破角0.6917
      虚焊-平行主栅暗块0.5541
      虚焊-边缘条状暗块0.6636
      虚焊-角落单块暗块0.7122
      正常无缺陷0.7097
    • Table 6. Data composition and results of training model

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      Table 6. Data composition and results of training model

      训练编号训练集组成测试集组成测试集准确率/%
      1拍摄图像500张拍摄图像432张61.57
      2拍摄图像500张+生成图像1000张拍摄图像432张87.50
      3拍摄图像500张+生成图像2500张拍摄图像432张94.21
      4拍摄图像500张+生成图像3500张拍摄图像432张95.14
      5拍摄图像500张+生成图像5000张拍摄图像432张96.53
      6拍摄图像500张+生成图像6000张拍摄图像432张97.92
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    Xiang HE. Electroluminescence image enhancement technology of half-cut photovoltaic module based on DCGANs[J]. Journal of Applied Optics, 2023, 44(2): 314

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    Paper Information

    Category: Research Articles

    Received: May. 16, 2022

    Accepted: --

    Published Online: Apr. 14, 2023

    The Author Email:

    DOI:10.5768/JAO202344.0202003

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