• Infrared and Laser Engineering
  • Vol. 52, Issue 3, 20220587 (2023)
Yan Wang, Dongsheng Cheng, Chao Jiang, Ziyang Ge, and Ping Jin
Author Affiliations
  • College of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243000, China
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    DOI: 10.3788/IRLA20220587 Cite this Article
    Yan Wang, Dongsheng Cheng, Chao Jiang, Ziyang Ge, Ping Jin. Identification of characteristics of slip signal based on fiber Bragg grating flexible sensor[J]. Infrared and Laser Engineering, 2023, 52(3): 20220587 Copy Citation Text show less
    Schematic diagram of FBG sensor slip
    Fig. 1. Schematic diagram of FBG sensor slip
    FBG array distribution diagram
    Fig. 2. FBG array distribution diagram
    Distributed FBG sensing experimental system
    Fig. 3. Distributed FBG sensing experimental system
    Slip signal acquisition
    Fig. 4. Slip signal acquisition
    Comparison of denoising curves
    Fig. 5. Comparison of denoising curves
    Characteristic value division of slip signal
    Fig. 6. Characteristic value division of slip signal
    Comparison of wavelength curves corresponding to velocity and load changes
    Fig. 7. Comparison of wavelength curves corresponding to velocity and load changes
    Characteristic distribution of sample wavelength and time value
    Fig. 8. Characteristic distribution of sample wavelength and time value
    Structural model of random forest
    Fig. 9. Structural model of random forest
    Influence of decision tree number on MSE coefficient
    Fig. 10. Influence of decision tree number on MSE coefficient
    Structural model of neural network
    Fig. 11. Structural model of neural network
    Effect of neuron number on prediction performance
    Fig. 12. Effect of neuron number on prediction performance
    Results of velocity and load predictions by RF and BP regression
    Fig. 13. Results of velocity and load predictions by RF and BP regression
    FunctionParameterSNRRMSE
    EMD m=8 16.1259.606×10−4
    m=9 15.8539.912×10−4
    m=10 6.4042.942×10−3
    Wavelet Level716.1649.563×10−4
    Level816.1369.594×10−4
    Level915.9829.765×10−4
    Table 1. Performance evaluation of denoising results
    Activation functionErrorR2RMSE
    Identity12.11%0.8111.715
    Sigmoid4.48%0.9670.650
    Tanh5.76%0.9420.888
    ReLU8.79%0.8861.516
    Table 2. Influence of activation functions on the system
    Physical quantityEvaluation criteriaBPRF
    Velocity /mm·s1Emax1.87221.3408
    Error4.31%5.22%
    R20.96810.9746
    RMSE0.66830.7287
    Pressure /N Emax0.06840.0142
    Error3.02%1.12%
    R20.98350.9982
    RMSE2.44140.8558
    Table 3. Performance evaluation of the two models
    Yan Wang, Dongsheng Cheng, Chao Jiang, Ziyang Ge, Ping Jin. Identification of characteristics of slip signal based on fiber Bragg grating flexible sensor[J]. Infrared and Laser Engineering, 2023, 52(3): 20220587
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