• Infrared and Laser Engineering
  • Vol. 51, Issue 4, 20210259 (2022)
Genqiang Jing1、2, Fajie Duan1, and Lu Peng2
Author Affiliations
  • 1State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
  • 2Research Institute of Highway, Ministry of Transport, Beijing 100088, China
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    DOI: 10.3788/IRLA20210259 Cite this Article
    Genqiang Jing, Fajie Duan, Lu Peng. Online evaluation method for the performance of in-service fiber optic strain monitoring systems[J]. Infrared and Laser Engineering, 2022, 51(4): 20210259 Copy Citation Text show less
    Technical framework
    Fig. 1. Technical framework
    System performance evaluation strategy
    Fig. 2. System performance evaluation strategy
    Schematic diagram of proposed series matching method
    Fig. 3. Schematic diagram of proposed series matching method
    Schematic diagram of character mapping
    Fig. 4. Schematic diagram of character mapping
    In-situ verification and test conditions
    Fig. 5. In-situ verification and test conditions
    Data series and preprocessing
    Fig. 6. Data series and preprocessing
    Matching procedure of data series
    Fig. 7. Matching procedure of data series
    Similarity and best match
    Fig. 8. Similarity and best match
    SNStain coeff./ µε·nm−1Temperature coeff./ µε·nm−1Init. wavelength/ nm
    #669778.0437−789.50041553.151
    #592726.0287−669.86611545.491
    Table 1. Parameters of the fiber strain sensors
    NameLength/samplesRange/µεResponse curve${C_{90}}$${C_{95}}$${C_{99}}$
    Series A50000120.5-211.90.06700.08050.1069
    Series B100000115.5-211.90.06380.07660.1018
    Series C50000109.8-176.20.05980.07190.0955
    Series D100000102.3-176.20.05590.06640.0877
    Table 2. Sampling data segment and system performance index calculation
    Genqiang Jing, Fajie Duan, Lu Peng. Online evaluation method for the performance of in-service fiber optic strain monitoring systems[J]. Infrared and Laser Engineering, 2022, 51(4): 20210259
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