• Acta Optica Sinica
  • Vol. 41, Issue 10, 1006002 (2021)
Hao Jiang1、2, Chaohui Lin1、2, Jing Chen1、2、*, and Xiren Miao1、2
Author Affiliations
  • 1College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China
  • 2Research Institute of Power System & Power Equipment, Fuzhou University, Fuzhou, Fujian 350108, China;
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    DOI: 10.3788/AOS202141.1006002 Cite this Article Set citation alerts
    Hao Jiang, Chaohui Lin, Jing Chen, Xiren Miao. Multi-Objective Optimal Configuration of Bandwidth Resources in FBG Sensor Network for Asymmetric Overlapping Spectra[J]. Acta Optica Sinica, 2021, 41(10): 1006002 Copy Citation Text show less
    Structure of FBG sensor network
    Fig. 1. Structure of FBG sensor network
    Spectral shape of FBG reflection spectrum. (a) Symmetric; (b) asymmetric
    Fig. 2. Spectral shape of FBG reflection spectrum. (a) Symmetric; (b) asymmetric
    Distribution of the central wavelength of the asymmetric 3-FBGs sensor network
    Fig. 3. Distribution of the central wavelength of the asymmetric 3-FBGs sensor network
    NSGA-II program flow chart
    Fig. 4. NSGA-II program flow chart
    Pareto curves of 8-FBGs sensor networks with asymmetric spectra
    Fig. 5. Pareto curves of 8-FBGs sensor networks with asymmetric spectra
    Pareto curves of 8-FBGs sensor networks with asymmetric and symmetric spectra
    Fig. 6. Pareto curves of 8-FBGs sensor networks with asymmetric and symmetric spectra
    Pareto curves of probability distribution of different asymmetric parameters. (a) Different standard deviations; (b) different mean values (0)
    Fig. 7. Pareto curves of probability distribution of different asymmetric parameters. (a) Different standard deviations; (b) different mean values (<0); (c) different mean values (>0)
    Pareto curves obtained by NSGA-II algorithm. (a) 4-FBGs; (b) 6-FBGs; (c) 8-FBGs; (d) 10-FBGs
    Fig. 8. Pareto curves obtained by NSGA-II algorithm. (a) 4-FBGs; (b) 6-FBGs; (c) 8-FBGs; (d) 10-FBGs
    BSR and overlapping degree after FBGs sensor network optimization design with different number of FBGs
    Fig. 9. BSR and overlapping degree after FBGs sensor network optimization design with different number of FBGs
    Parameter12345678910
    μ /με100500-100-700-650-450-550250320-300
    σ /με300250270280220260320250360280
    Table 1. Parameters of 10 groups of stresses
    Network scale4-FBGs6-FBGs8-FBGs10-FBGs
    Center wavelength of FBG1 /nm1566.11563.51557.91561.8
    Center wavelength of FBG2 /nm1567.31564.81557.51563.1
    Center wavelength of FBG3 /nm1564.51561.81562.71566.8
    Center wavelength of FBG4 /nm1563.41560.51561.51560.4
    Center wavelength of FBG5 /nm1535.21560.01565.3
    Center wavelength of FBG6 /nm1562.01559.91565.2
    Center wavelength of FBG7 /nm1556.21568.2
    Center wavelength of FBG8 /nm1556.01569.7
    Center wavelength of FBG9 /nm1561.2
    Center wavelength of FBG10 /nm1560.3
    Bandwidth /nm6.97.39.712.3
    Overlapping degree0.110.110.100.10
    BSR /%45.559.659.658.8
    Table 2. Solutions selected for each group of experiments
    Hao Jiang, Chaohui Lin, Jing Chen, Xiren Miao. Multi-Objective Optimal Configuration of Bandwidth Resources in FBG Sensor Network for Asymmetric Overlapping Spectra[J]. Acta Optica Sinica, 2021, 41(10): 1006002
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