Optics and Precision Engineering, Volume. 31, Issue 24, 3640(2023)
Photovoltaic hot spot detection method incorporating knowledge distillation and attention mechanisms
[1] [1] 孙海蓉, 李帆. 基于注意力机制的光伏热斑识别[J]. 太阳能学报, 2023, 44(2): 453-459.SUNH R, LIF. Photovoltaic hot spot recognition based on attention mechanism[J]. Acta Energiae Solaris Sinica, 2023, 44(2): 453-459.(in Chinese)
[2] [2] 蒋琳, 苏建徽, 李欣, 等. 基于可见光和红外热图像融合的光伏阵列热斑检测方法[J]. 太阳能学报, 2022, 43(1): 393-397.JIANGL, SUJ H, LIX, et al. Hot spot detection of photovoltaic array based on fusion of visible and infrared thermal images[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 393-397.(in Chinese)
[3] [3] 毛峡, 石天朋. 光伏热斑图像有效区域分割算法研究[J]. 太阳能学报, 2018, 39(5): 1270-1276.MAOX, SHIT P. Research on segmentation algorithm of effective region in photovoltaic hot spot image[J]. Acta Energiae Solaris Sinica, 2018, 39(5): 1270-1276.(in Chinese)
[4] [4] 马铭遥, 张志祥, 刘恒, 等. 基于I-V特性分析的晶硅光伏组件故障诊断[J]. 太阳能学报, 2021, 42(6): 130-137.MAM Y, ZHANGZ X, LIUH, et al. Fault diagnosis of crystalline silicon photovoltaic module based on I-V characteristic analysis[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 130-137.(in Chinese)
[5] [5] 孙建波, 王丽杰, 麻吉辉, 等. 基于改进YOLO v5s算法的光伏组件故障检测[J]. 红外技术, 2023, 45(2): 202-208.SUNJ B, WANGL J, MAJ H, et al. Photovoltaic module fault detection based on improved YOLOv5s algorithm[J]. Infrared Technology, 2023, 45(2): 202-208.(in Chinese)
[6] [6] 孙海蓉, 周映杰, 张镇韬, 等. 基于改进自私羊群算法的光伏红外热图像热斑识别方法[J]. 中国电机工程学报, 2022, 42(24): 8942-8950.SUNH R, ZHOUY J, ZHANGZ T, et al. Hot spot recognition method of photovoltaic infrared thermal image based on improved selfish herd algorithm[J]. Proceedings of the CSEE, 2022, 42(24): 8942-8950.(in Chinese)
[7] [7] 蒋琳, 苏建徽, 施永, 等. 基于红外热图像处理的光伏阵列热斑检测方法[J]. 太阳能学报, 2020, 41(8): 180-184.JIANGL, SUJ H, SHIY, et al. Hot spots detection of operating PV arrays through IR thermal image[J]. Acta Energiae Solaris Sinica, 2020, 41(8): 180-184.(in Chinese)
[8] F GRIMACCIA, S LEVA, A NICCOLAI. PV plant digital mapping for modules’ defects detection by unmanned aerial vehicles. IET Renewable Power Generation, 11, 1221-1228(2017).
[9] [9] 刘忻伟, 朴永杰, 郑亮亮, 等. 面向航天光学遥感复杂场景图像的舰船检测[J]. 光学 精密工程, 2023, 31(6): 892-904. doi: 10.37188/OPE.20233106.0892LIUX W, PIAOY J, ZHENGL L, et al. Ship detection for complex scene images of space optical remote sensing[J]. Opt. Precision Eng., 2023, 31(6): 892-904.(in Chinese). doi: 10.37188/OPE.20233106.0892
[10] [10] 张丽丽, 陈真, 刘雨轩, 等. 基于ZYNQ的Yolo v3-SPP实时目标检测系统[J]. 光学 精密工程, 2023, 31(4): 543-551. doi: 10.37188/ope.20233104.0543ZHANGL L, CHENZ, LIUY X, et al. Yolo v3-SPP real-time target detection system based on ZYNQ[J]. Opt. Precision Eng., 2023, 31(4): 543-551.(in Chinese). doi: 10.37188/ope.20233104.0543
[11] [11] 郝帅, 何田, 马旭, 等. 动态特征优化机制下的跨尺度红外行人检测[J]. 光学 精密工程, 2022, 30(19): 2390-2403. doi: 10.37188/OPE.20223019.2390HAOS, HET, MAX, et al. Cross-scale infrared pedestrian detection based on dynamic feature optimization mechanism[J]. Opt. Precision Eng., 2022, 30(19): 2390-2403.(in Chinese). doi: 10.37188/OPE.20223019.2390
[12] S Q REN, K M HE, R GIRSHICK et al. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).
[13] J H CAO, J J ZHANG, X JIN. A traffic-sign detection algorithm based on improved sparse R-CNN. IEEE Access, 9, 122774-122788(2021).
[14] [14] 樊涛, 孙涛, 刘虎. 基于注意力机制的光伏组件热斑检测算法[J]. 北京航空航天大学学报, 2022, 48(7): 1304-1313.FANT, SUNT, LIUH. Hot spot detection algorithm of photovoltaic module based on attention mechanism[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(7): 1304-1313.(in Chinese)
[15] [15] 谢誉, 包梓群, 张娜, 等. 基于特征优化与深层次融合的目标检测算法[J]. 浙江大学学报(工学版), 2022, 56(12): 2403-2415.XIEY, BAOZ Q, ZHANGN, et al. Object detection algorithm based on feature enhancement and deep fusion[J]. Journal of Zhejiang University (Engineering Science), 2022, 56(12): 2403-2415.(in Chinese)
[16] M JU, J LUO, G LIU et al. ISTDet: an efficient end-to-end neural network for infrared small target detection. Infrared Physics & Technology, 114, 103659(2021).
[17] [17] 李想, 特日根, 仪锋, 等. 针对全球储油罐检测的TCS-YOLO模型[J]. 光学 精密工程, 2023, 31(2): 246-262. doi: 10.37188/OPE.20233102.0246LIX, TER G, YIF, et al. TCS-YOLO model for global oil storage tank inspection[J]. Opt. Precision Eng., 2023, 31(2): 246-262.(in Chinese). doi: 10.37188/OPE.20233102.0246
[18] [18] 王道累, 姚勇, 张世恒, 等.基于红外热图像的光伏组件热斑深度学习检测方法[J/OL].中国电机工程学报:1-9[2023-04-20]. https://doi.org/10.13334/j.0258-8013.pcsee.221519.WANGD L, YAOY, ZHANGS H, et al. Deep Learning Detection Method of Photovoltaic Module Hot Spot Based on Infrared Thermal Image[J/OL]. Chinese Society for Electrical Engineering, 1-9[2023-04-20]. https://doi.org/10.13334/j.0258-8013.pcsee.221519.(in Chinese)
[19] [19] 夏杰锋, 唐武勤, 杨强. 光伏航拍红外图像的热斑自动检测方法[J]. 浙江大学学报(工学版), 2022, 56(8): 1640-1647.XIAJ F, TANGW Q, YANGQ. Automatic hot spot detection method for photovoltaic aerial infrared image[J]. Journal of Zhejiang University (Engineering Science), 2022, 56(8): 1640-1647.(in Chinese)
[20] B Y SU, H Y CHEN, K LIU et al. RCAG-Net: residual channelwise attention gate network for hot spot defect detection of photovoltaic farms. IEEE Transactions on Instrumentation and Measurement, 70, 1-14(2021).
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Shuai HAO, Yingqi WU, Xu MA, Tong LI, Haiying WANG. Photovoltaic hot spot detection method incorporating knowledge distillation and attention mechanisms[J]. Optics and Precision Engineering, 2023, 31(24): 3640
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Received: May. 5, 2023
Accepted: --
Published Online: Jan. 5, 2024
The Author Email: MA Xu (414548542@qq.com)