Laser & Infrared, Volume. 54, Issue 4, 584(2024)
Infrared hot spot detection in photovoltaic modules based on improved Faster R-CNN
[3] [3] Hossam B, Itako K. Real time hotspot detection using scan-method adopted with P&O MPPT for PV generation system[C]//Annual Southern Power Electronics Conference. Auckland, New Zealand: IEEE Press, 2016: 1-5.
[6] [6] Wang Y, Itako K, Kudoh T, et al. Voltage-based hot-spot detection method for PV string using projector[C]//International Conference on Power and Renewable Energy, Shanghai, China: IEEE Press, 2016: 570-574.
[8] [8] M Alajmi, K Awedat, M S. Aldeen, et al. IR thermal image analysis: an efficient algorithm for accurate hot-spot fault detection and localization in solar photovoltaic systems[J]. IEEE Transactions on Industrial Electronics, 2019, 63(5): 3159-3169.
[15] [15] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]//Advances in Neural Information Processing Systems, Long Beach: IEEE Press, 2017: 5998-6008.
[16] [16] Ze Liu, Yutong Lin, Yue Cao, et al. Swin transformer: hierarchical vision transformer using shifted windows[C]//International Conferenceon Computer Vision, Montreal, QC, Canada: IEEE Press, 2021: 9992-10002.
[19] [19] Tan M, Pang R, Le QV. Efficient det: scalable andefficient object detection[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020: 10781-10790.
[20] [20] Woo S, Park J, Lee J Y, et al. Cbam: convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision (ECCV), 2018: 3-19.
[21] [21] He K, Zhang X, Ren S, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA: IEEE Press, 2016: 770-778.
[22] [22] K Simonyan, A Zisserman. Very deep convolutional net-works for large-scale image recognition[C]//International Conference on Learning Representations (ICLR), 2015.
[23] [23] Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA: IEEE Press, 2015: 1-9.
[24] [24] Saining Xie, Ross Girshick, Piotr Dollr, et al. Aggregated residual transformations for deep neural networks[C]//Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA: IEEE Press, 2017: 5987-5995.
[25] [25] Liu Wei, et al. SSD: single shot multibox detector[C]//Proc of European Conference on Computer Vision. Cham: Springer, 2016: 21-37.
[26] [26] Bochkovskiy A, Wang C Y, Liao H Y M. Yolov4: optimal speed and accuracy of object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
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JI Rui-rui, MEI Yuan, YANG Si-fan, LUO Feng-kai, CHU Xiao-shuai, ZHANG Long, WANG Duo, LI Ke-ming. Infrared hot spot detection in photovoltaic modules based on improved Faster R-CNN[J]. Laser & Infrared, 2024, 54(4): 584
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Received: Jul. 14, 2023
Accepted: May. 21, 2025
Published Online: May. 21, 2025
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