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首页> 外文期刊>Solar Energy >Compressive light beam induced current sensing for fast defect detection in photovoltaic cells
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Compressive light beam induced current sensing for fast defect detection in photovoltaic cells

机译:压缩光束感应电流感测可快速检测光伏电池中的缺陷

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摘要

In this paper, a fast and efficient defect location system utilizing compressive sensing is proposed for detecting defects in solar cells. It measures the total output of the sample solar cell under excitation of patterns displayed by a liquid crystal display. Then the defects are located compressively by solving a convex problem using a small number of photo-electric current measurements - far fewer than the total possible number of testing points. The feasibility of proposed method and its detection performance were evaluated. The experimental results indicate that a sparse distribution of defects can be compressively located using measurements whose number is about 30-60% of all possible testing points and that the detection speed can be increased by a factor of 10-15 while retaining a reasonable accuracy. An additional advantage of the proposed detection system is that no mechanical moving components or optical lens are used and thus no mechanical instabilities or optical distortions are introduced. This advantage in particular means that there is significant potential to further improve the detection speed since electrical measurements can be very fast. Overall, the proposed method has significant potential for improving the efficiency and speed of inspection and classification of industrial photovoltaic devices. (C) 2017 Published by Elsevier Ltd.
机译:在本文中,提出了一种利用压缩感测的快速有效的缺陷定位系统来检测太阳能电池中的缺陷。它在液晶显示器显示的图案激发下测量样品太阳能电池的总输出。然后,通过使用少量光电电流测量来解决凸问题,从而压缩性地定位缺陷-远远少于测试点的总数。评价了该方法的可行性及其检测性能。实验结果表明,使用数量约为所有可能测试点的30-60%的测量值,可以压缩定位稀疏的缺陷分布,并且在保持合理精度的同时,可以将检测速度提高10-15倍。所提出的检测系统的另一个优点是,不使用机械运动部件或光学透镜,因此不引入机械不稳定性或光学畸变。该优点特别意味着,由于电测量可以非常快,因此有很大的潜力进一步提高检测速度。总体而言,所提出的方法对于提高工业光伏装置的检查和分类的效率和速度具有巨大的潜力。 (C)2017由Elsevier Ltd.发布

著录项

  • 来源
    《Solar Energy》 |2017年第7期|345-352|共8页
  • 作者单位

    Xidian Univ, Sch Aerosp Sci & Technol, Xian 710071, Shaanxi, Peoples R China;

    Xidian Univ, Sch Aerosp Sci & Technol, Xian 710071, Shaanxi, Peoples R China;

    Xidian Univ, Sch Aerosp Sci & Technol, Xian 710071, Shaanxi, Peoples R China;

    Xidian Univ, Sch Aerosp Sci & Technol, Xian 710071, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Defect detection; Compressive sensing; Light beam induced current; Photovoltaic cells;

    机译:缺陷检测;压感;光束感应电流;光伏电池;

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