Paper
10 April 2023 A simple method of measuring vibration frequency based on φ-OTDR
Zesen Zhang, Jieqia Chen, Zhenhua Xu, Zujun Qin
Author Affiliations +
Proceedings Volume 12614, 14th International Photonics and Optoelectronics Meetings (POEM 2022); 126140K (2023) https://doi.org/10.1117/12.2672638
Event: 14th International Photonics and Optoelectronics Meeting (POEM 2022), 2022, Wuhan, China
Abstract
Distributed vibration sensors by amplitude-demodulated phase sensitive optical time-domain reflectometers (φ-OTDR) have been widely used in many applications like safety monitoring of large-scale infrastructures and fence security. In order to locate vibrations, every two Rayleigh backscattering traces (RBTs) spaced apart by a certain interval (i.e., differential step k) are traditionally subtracted over a certain measurement time, and then all the subtractions are summed together and used to detect external vibration events. This method is denoted as amplitude-based accumulative differential method (ADM). Yet, the ADM has been demonstrated that the superimposing differential signal shows highly dependent on k which is closely related to vibration frequency (i.e., fs). Inappropriate k values would fail to locate the vibration. It is thus possible to envisage measuring fs by taking advantage of this strong dependence of the ADM on fs. In this manuscript, a simple method of estimating fs is proposed by measuring the relationship between the ADM signal and k. The validity of this method is demonstrated by our experiment, in which a vibration event induced by a sinusoidal-driven PZT is detected.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zesen Zhang, Jieqia Chen, Zhenhua Xu, and Zujun Qin "A simple method of measuring vibration frequency based on φ-OTDR", Proc. SPIE 12614, 14th International Photonics and Optoelectronics Meetings (POEM 2022), 126140K (10 April 2023); https://doi.org/10.1117/12.2672638
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KEYWORDS
Signal detection

Ferroelectric materials

Bragg cells

Digital signal processing

Pulse signals

Signal processing

Reflectometry

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