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Journal of Optoelectronics · Laser, Volume. 36, Issue 2, 130(2025)

Aircraft blade surface defect detection based on deep neural networks

SU Baohua1, ZHANG Yinlong2、*, ZHANG Nan1, and FENG Xuan3
Author Affiliations
  • 1Inspection and Testing Centering, Shenyang Liming Aero-Engine (Group), Corporation LTD. , Shenyang, Liaoning 110043, China
  • 2Department of Network and Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110169, China
  • 3College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning 110142, China
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    SU Baohua, ZHANG Yinlong, ZHANG Nan, FENG Xuan. Aircraft blade surface defect detection based on deep neural networks[J]. Journal of Optoelectronics · Laser, 2025, 36(2): 130

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    Paper Information

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    Received: Nov. 10, 2023

    Accepted: Jan. 23, 2025

    Published Online: Jan. 23, 2025

    The Author Email: ZHANG Yinlong (zhangyinlong@sia.cn)

    DOI:10.16136/j.joel.2025.02.0586

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology