Acta Photonica Sinica, Volume. 51, Issue 10, 1012002(2022)

Inspection and Repair of Optical Damage in Tradition and Deep Learning(Invited)

Yong LI1...2, Jianlang LI1, Zhan LI2, Dean LIU2, Dawei ZHANG1 and Junyong ZHANG2,* |Show fewer author(s)
Author Affiliations
  • 1School of Optical-electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • 2Joint Laboratory on High Power Laser and Physics,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Science,Shanghai 201800,China
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    Figures & Tables(12)
    The approximate structure and location of FOA in NIF[5]
    Different types of damage photos[7-8]
    Online inspection process[15]
    Deep learning network structure combining CNN and EDT[31]
    Schematic of diffraction ring detecting hot image damage[38]
    Deep learning network structure to detect the diffraction ring
    Partial experimental results of LI Zhan et al [43]
    Schematic of deep learning and damage reconstruction model
    Simulation training results,diffraction pattern and recovery intensity of damage with different diameter and diffraction distance
    Comparison before and after repair[55]
    Optics recycle loop strategy[42]
    • Table 1. Different repair protocols56

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      Table 1. Different repair protocols56

      Protocol nameProtocol diameter/μmMaximum damage site size/μmOptic surfaceTime to repair/s
      RAM360360180Input51
      RAM520520150Exit15
      RAM600600320Input22
      RAM12601 260300Exit78
      RAM20002 000800Exit300
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    Yong LI, Jianlang LI, Zhan LI, Dean LIU, Dawei ZHANG, Junyong ZHANG. Inspection and Repair of Optical Damage in Tradition and Deep Learning(Invited)[J]. Acta Photonica Sinica, 2022, 51(10): 1012002

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jun. 8, 2022

    Accepted: Aug. 23, 2022

    Published Online: Nov. 30, 2022

    The Author Email: ZHANG Junyong (zhangjy829@siom.ac.cn)

    DOI:10.3788/gzxb20225110.1012002

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