Acta Photonica Sinica, Volume. 53, Issue 2, 0206001(2024)

Surface Reconstruction and Error Compensation Method Based on NSGA-II Sensing Position Optimization

Qiufeng SHANG1,2,3 and Xiaoxu ZHANG1、*
Author Affiliations
  • 1Department of Electronic and Communication Engineering,North China Electric Power University,Baoding 071003,China
  • 2Hebei Key Laboratory of Power Internet of Things Technology,Baoding 071003,China
  • 3Baoding Key Laboratory of Optical Fiber Sensing and Optical Communication Technology,Baoding 071003,China
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    Figures & Tables(14)
    Principle of FGB sensing
    Finite element simulation model
    FBG deformation diagram under bending conditions
    Calibration diagram of FBG strain
    Variation of wavelength shift of FBG with strain
    Flow chart of NSGA-II algorithm
    Deconstruction results in the case of circular arcs with different curvature radii
    RBF neural network model structure
    PSO-RBF flow chart
    Displacement reconstruction results in the case of arcs with different curvature radii
    Shape reconstruction results in the case of circular arcs with different curvature radii
    • Table 1. Participate effectively in the quality accumulation table

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      Table 1. Participate effectively in the quality accumulation table

      Number of ordersEffective participation quality in the x directionEffective participation quality in the y directionEffective participation quality in the z direction
      20.4500.6930.604
      40.6130.7050.665
      60.7540.8010.795
      80.8130.8550.853
    • Table 2. Reconstruction errors of different methods

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      Table 2. Reconstruction errors of different methods

      Radius of circle/mmMethodsRoot mean square error/mmMaximum error/mm
      200NSGA-II0.5002.102
      K-means++0.6952.481
      180NSGA-II0.5612.315
      K-means++0.7312.561
      160NSGA-II0.6362.561
      K-means++0.8342.920
    • Table 3. Reconstruction errors after error compensation

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      Table 3. Reconstruction errors after error compensation

      Radius of circle/mmMethodsRoot mean square error/mmMaximum error/mm
      180Uncompensation0.5612.315
      PSO-RBF0.0380.686
      160Uncompensation0.6372.561
      PSO-RBF0.0460.778
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    Qiufeng SHANG, Xiaoxu ZHANG. Surface Reconstruction and Error Compensation Method Based on NSGA-II Sensing Position Optimization[J]. Acta Photonica Sinica, 2024, 53(2): 0206001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jul. 11, 2023

    Accepted: Sep. 19, 2023

    Published Online: Mar. 28, 2024

    The Author Email: ZHANG Xiaoxu (18845155689@163.com)

    DOI:10.3788/gzxb20245302.0206001

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