Laser & Optoelectronics Progress, Volume. 61, Issue 9, 0906004(2024)

Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry

Junchao Dong1,2,3, Mingming Luo1,2,3, Jianfei Liu1,2,3、*, and Wenrong Yang4
Author Affiliations
  • 1School of Electricity and Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2Hebei Key Laboratory of Advanced Laser Technology and Equipment, Tianjin 300401, China
  • 3Tianjin Key Laboratory of Electronic Materials and Devices, Tianjin 300401, China
  • 4State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China
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    Figures & Tables(17)
    Structure diagram of OFDR system and optical fiber layout scheme
    Wind turbine blade fluid domain model and its meshing
    Strain distribution of the blade at different moments
    Strain at the leaf root sensing location at different wind speeds. (a) Time domain diagram; (b) frequency domain diagram
    Blade strain distribution at different wind speeds
    Strain distribution per unit cross-sectional area
    Blade strain values at different wind speeds in forward wind. (a) Normalized strain distribution of undamaged blade; (b) normalized strain distribution of damaged blade
    Blade strain values at different wind speeds in reverse wind. (a) Undamaged blade strain distribution; (b) damaged blade normalized strain distribution
    Two-dimensional strain distribution of the blade. (a) Single damage; (b) multiple damages
    Strain with 10% damage degree at 2.4 m of the blade. (a) Normalized strain distribution; (b) normalized strain change rate distribution
    Strain distribution and damage coefficient of the damaged blade. (a) Normalized strain distribution diagram of fan blades with different damage degrees at 1.0 m damage; (b) relationship between damage level and damage factor for different damage cases
    Structure diagram of optical fiber sensing system based on OFDR
    Fiber optic paste method and paste after the specimen
    Strain of cantilever beams. (a) Strain distribution of damaged and undamaged cantilever beams; (b) strain distribution of damaged cantilever beams at different deformations
    • Table 1. Information on the location and extent of the injury

      View table

      Table 1. Information on the location and extent of the injury

      Damage center position /m0.20.40.60.81.01.2
      Damage range /m0.18‒0.220.38‒0.420.58‒0.620.78‒0.820.98‒1.021.18‒1.22
      Damage center position /m1.41.61.82.02.22.4
      Damage range /m1.38‒1.421.58‒1.621.78‒1.821.98‒2.022.18‒2.222.38‒2.42
    • Table 2. Validation sample information of a single injury and its judgment result

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      Table 2. Validation sample information of a single injury and its judgment result

      Blade materialWind speed /(m·s-1Damage position /mActual damage degree /%Degree of damage identified /%Identification error /%
      FPR151.2062.5062.100.40
      FPR170.2725.0028.603.60
      FPR171.2045.0046.801.80
      FPR211.2035.0037.702.70
      Aluminum171.6050.0050.800.80
      Steel171.6050.0046.103.90
    • Table 3. Validation sample information of multiple impairments and their judgment result

      View table

      Table 3. Validation sample information of multiple impairments and their judgment result

      Blade materialWind speed /(m·s-1Damage position /mActual damage degree /%Degree of damage identified /%Identification error /%
      FPR170.840.0039.100.90
      1.270.0068.301.70
      FPR170.610.007.702.30
      1.450.0050.600.60
      FPR230.410.007.502.50
      2.275.0076.901.90
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    Junchao Dong, Mingming Luo, Jianfei Liu, Wenrong Yang. Damage Detection Method for Wind Turbine Blade Based on Optical Frequency Domain Reflectometry[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0906004

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jun. 1, 2023

    Accepted: Jul. 12, 2023

    Published Online: May. 6, 2024

    The Author Email: Jianfei Liu (jfliu@hebut.edu.cn)

    DOI:10.3788/LOP231432

    CSTR:32186.14.LOP231432

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