• Title/Summary/Keyword: Hybrid Nerve Measurement System

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Optical Fiber-Based Hybrid Nerve Measurement System for Static and Dynamic Behavior of Structures (구조물의 정적 및 동적 거동 모니터링을 위한 광섬유 기반 하이브리드 신경망 계측 시스템)

  • Park, Young-Soo;Song, Kwang-Yong;Jin, Seung-Seop;Park, Young-Hwan;Kim, Sung-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.2
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    • pp.33-40
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    • 2020
  • Various studies have been conducted on the structural health monitoring using optical fiber. Optical fibers can be used to measure multiple and distributed strain. Among the optical fiber sensors, FBG sensor has advantages of dynamic response measurement and high precision, but the number of measurement points is limited. Distributed fiber sensors, represented by distributed Brillouin sensors, usually have more than 1000 measurement points, but the low sampling rate makes dynamic measurements impossible. In this study, a hybrid nerve sensor system using only the advantages of the FBG sensor and the distributed Brillouin sensor has been proposed. Laboratory experiments were performed to verify the proposed system, and the accuracy and reproducibility were verified by comparing with commercial sensors. Applying the proposed system, dynamic response ambient measurements are used to evaluate the global state of the structure. When an abnormal condition is detected, the local condition of the structure is evaluated by static response measurement using the distributed measurement system. The proposed system can be used for efficient structural health monitoring.