• 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
  • show less
    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
    References

    [1] Venu Gopal Madhav Annamdas, Suresh Bhalla, Chee Kiong Soh. Applications of structural health monitoring technology in Asia. Structural Health Monitoring, 16, 324-346(2017).

    [2] Longbao Wang, Yingchi Mao, Yangkun Cheng, et al. Deep learning-based diagnosing structural behavior in dam safety monitoring system. Sensors, 21, 1171(2021).

    [3] Yang Liu, Hu Li, Yongliang Wang, et al. Damage detection of tunnel based on the high-density cross-sectional curvature obtained using strain data from BOTDA sensors. Mechanical Systems and Signal Processing, 158, 107728(2021).

    [4] Emad Norouzzadeh Tochaei, Zheng Fang, Todd Taylor, et al. Structural monitoring and remaining fatigue life estimation of typical welded crack details in the Manhattan Bridge. Engineering Structures, 231, 111760(2021).

    [5] Junwon Seo, Jong Wan Hu, Jaeha Lee. Summary review of structural health monitoring applications for highway bridges. Journal of Performance of Constructed Facilities, 30, 4015072(2016).

    [6] Mattia Francesco Bado, Joan R Casas. A review of recent distributed optical fiber sensors applications for civil engineering structural health monitoring. Sensors, 21, 1818(2021).

    [7] Kaiyu Zhang, Guang Yan, Fanyong Meng, et al. Temperature decoupling and high strain sensitivity fiber Bragg grating sensor. Optics and Precision Engineering, 26, 1330-1337(2018).

    [8] Huaping Wang, Ping Xiang. Optimization design of optical fiber sensors based on strain transfer theory. Optics and Precision Engineering, 24, 1233-1241(2016).

    [9] Anqiang Lv, Yongqian Li, Jing Li, et al. Distinguish measurement of temperature and strain of laid sensing optical fibers based on BOTDR. Infrared and Laser Engineering, 44, 2952-2958(2015).

    [10] Lili Li, Gang Liu, Liangliang Zhang, et al. Sensor fault detection with generalized likelihood ratio and correlation coefficient for bridge SHM. Journal of Sound and Vibration, 442, 445-458(2019).

    [11] Lu Peng, Genqiang Jing, Zhu Luo, et al. Dynamic strain signal monitoring and calibration with neural network based on hierarchical orthogonal artificial bee colony. Computer Communications, 159, 279-288(2020).

    [12] Genqiang Jing, Xin Yuan, Fajie Duan, et al. Matching method for data sequences from on-line calibration of laser displacement meter. Infrared and Laser Engineering, 48, 0506006(2019).

    [13] Jessica Lin, Eamonn Keogh, Li Wei, et al. Experiencing SAX: A novel symbolic representation of time series. Data Mining and Knowledge Discovery, 15, 107-144(2007).

    [14] Lexiang Ye, Eamonn Keogh. Time series shapelets: A novel technique that allows accurate, interpretable and fast classification. Data Mining and Knowledge Discovery, 22, 149-182(2011).

    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
    Download Citation