• Acta Optica Sinica
  • Vol. 37, Issue 10, 1006001 (2017)
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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    DOI: 10.3788/AOS201737.1006001 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    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)
    Model of three-layer BP neural network
    Fig. 2. Model of three-layer BP neural network
    Flow chart of optimized neural network algorithm
    Fig. 3. Flow chart of optimized neural network algorithm
    (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
    Predictive mean square error of GA-BP network
    Fig. 5. Predictive mean square error of GA-BP network
    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 1. FBG center wavelengths at different currents and temperaturesnm
    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
    Table 2. Data of partial samples of GA-BP network
    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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