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首页> 外文期刊>Industrial Informatics, IEEE Transactions on >Noncontact Electromagnetic Induction Excited Infrared Thermography for Photovoltaic Cells and Modules Inspection
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Noncontact Electromagnetic Induction Excited Infrared Thermography for Photovoltaic Cells and Modules Inspection

机译：用于光伏电池和组件检查的非接触电磁感应激发红外热成像

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摘要

Defects can affect the generation efficiency and service life of photovoltaic (PV) cells and modules, and even can cause serious damage to grid connected PV power generation station. This paper proposes active electromagnetic induction infrared thermography defect detection methods for PV cells and modules, which have the advantages of noncontact, rapid, full-field, subtle, and quantitative detection. First, the mechanism of infrared radiation after electromagnetic induction of PV cells is described, and a digital EIIT system is established. Then, the thermal image sequences of PV cells and modules are obtained under pulse and lock-in modes of excitation. Fast Fourier transform, independent component analysis, and principal component analysis are used to deal with the thermal image sequences. Finally, the visual detection of defects, including scratches, hot spots, microcracks, surface impurities, and broken grids in PV cells and modules are realized. The experimental results have shown that the proposed method can distinguish the background noise and the defects very well, thus providing a reliable and rapid inspection means for the research, testing, manufacturing, service, and maintenance of PV cells and modules.
机译：缺陷会影响光伏（PV）电池和模块的发电效率和使用寿命，甚至会严重损害并网的光伏发电站。本文提出了一种用于光伏电池和组件的主动电磁感应红外热像仪缺陷检测方法，该方法具有非接触，快速，全场，精细和定量检测的优点。首先，描述了光伏电池电磁感应后的红外辐射机理，并建立了数字EIIT系统。然后，在脉冲和锁定激发模式下获得PV电池和组件的热图像序列。快速傅里叶变换，独立分量分析和主分量分析用于处理热图像序列。最终，可以目测缺陷，包括PV电池和模块中的划痕，热点，微裂纹，表面杂质和破裂的网格。实验结果表明，该方法能够很好地识别背景噪声和缺陷，为光伏电池和组件的研究，测试，制造，服务和维护提供了可靠，快速的检查手段。

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