Acta Optica Sinica, Volume. 41, Issue 3, 0306001(2021)

Distributed Fiber-Optic Ultrasonic Sensor Applied in Detection of Discharging Fault of Power Cable Joint

Hao Chen1, Yang Xu1、*, Sen Qian2, Chuan Chen2, Jinghong Guo2, and Lei Su3
Author Affiliations
  • 1State Key Laboratory of Power Equipment and Electrical Insulation, Xian Jiaotong University, Xian, Shaanxi 710049, China
  • 2Department of Sensing Technology for Electric Power, Global Energy Interconnection Research Institute, Beijing 102209, China
  • 3School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK
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    The optical fiber sensing technology has the advantages of long-distance transmission and distributed detection, therefore having great application potential in the field of cable line condition monitoring. In this paper, a phase-sensitive optical time-domain reflectometry (Φ-OTDR) is used to interrogate partial discharges in the fault diagnosis of power cable joints. By virtue of stochastic features of the Rayleigh scattering coherent signal, the signal variance is chosen as a detection quantity of the weak ultrasonic signal. In the partial discharge experiment, five fiber loop sensors were wrapped around some ultrasonic monitoring points on the cable joint, to prove the distributed locating capability of the Φ-OTDR system. The signal characteristics of the electrical measurement method and fiber-optic acoustic measurement method for local discharge were compared, and the positions of the five fiber loop sensors were calibrated by a piezoelectric sensor, which verified the features of the Φ-OTDR distributed ultrasonic fiber sensors in partial discharge measurements.

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    Hao Chen, Yang Xu, Sen Qian, Chuan Chen, Jinghong Guo, Lei Su. Distributed Fiber-Optic Ultrasonic Sensor Applied in Detection of Discharging Fault of Power Cable Joint[J]. Acta Optica Sinica, 2021, 41(3): 0306001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Apr. 24, 2020

    Accepted: Sep. 8, 2020

    Published Online: Feb. 28, 2021

    The Author Email: Xu Yang (xuyang@xjtu.edu.cn)

    DOI:10.3788/AOS202141.0306001

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