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Acta Optica Sinica, Volume. 37, Issue 10, 1006001(2017)

Temperature Compensation of Fiber Bragg Grating Current Sensor Based on Optimized Neural Network Algorithm

Shiqing Sun* and Fenghong Chu
Author Affiliations
  • School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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    Figures&Tables (7)
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    References (16)
    Cited By (6)
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    Figures & Tables(7)
    Structure diagram of FBG current sensing system (inset Ⅰ is incident spectrum of optical source, inset Ⅱ is reflection spectrum of FBG, and inset Ⅲ is transmission spectrum of FBG)

    Fig. 1. Structure diagram of FBG current sensing system (inset Ⅰ is incident spectrum of optical source, inset Ⅱ is reflection spectrum of FBG, and inset Ⅲ is transmission spectrum of FBG)

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    Model of three-layer BP neural network

    Fig. 2. Model of three-layer BP neural network

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    Flow chart of optimized neural network algorithm

    Fig. 3. Flow chart of optimized neural network algorithm

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    (a) Output of GA-BP network; (b) output of BP neural network

    Fig. 4. (a) Output of GA-BP network; (b) output of BP neural network

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    Predictive mean square error of GA-BP network

    Fig. 5. Predictive mean square error of GA-BP network

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    • Table 1. FBG center wavelengths at different currents and temperaturesnm

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      Table 1. FBG center wavelengths at different currents and temperaturesnm

      Temperature /℃Current /A
      00.10.20.30.40.50.60.7
      -1.21542.6261542.6281542.6501542.6801542.7801542.9891543.2881543.599
      6.41542.7651542.8011542.8221542.8851542.9691543.0231543.3381543.671
      10.41542.8181542.8411542.8701542.9461543.0161543.2671543.4581544.012
      15.41542.9951542.9881543.0401543.1221543.2051543.3421543.6501544.054
      20.41543.1811543.1861543.2351543.2971543.3631543.5651543.5751544.187
      26.41543.2881543.2981543.3281543.3511543.5431543.7041544.0181544.317
      31.21543.4791543.4901543.5391543.5961543.7441543.8651543.9161544.413
      36.41543.6061543.6541543.7141543.7431543.7641544.1321544.2071544.453
      41.41543.7491543.8421543.8921543.9991544.1231544.3621544.3891544.786

    • Table 2. Data of partial samples of GA-BP network

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      Table 2. Data of partial samples of GA-BP network

      Ambient temperature /℃Central wavelength /nmActual current /APredictive current /A
      31.21543.5390.20.1786
      -1.21542.7800.40.3513
      20.41543.5650.50.5591
      -1.21542.6280.10.1109
      15.41544.0540.70.7094
      31.21543.47900.0798
      41.41544.3890.60.5781
      20.41543.2970.30.3026
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    Shiqing Sun, Fenghong Chu. Temperature Compensation of Fiber Bragg Grating Current Sensor Based on Optimized Neural Network Algorithm[J]. Acta Optica Sinica, 2017, 37(10): 1006001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Apr. 10, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Shiqing Sun (sunny@yahoo.com)

    DOI:10.3788/AOS201737.1006001

    Topics

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