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Data-Driven Distributed Optical Vibration Sensors: A Review

Shao, Li-Yang, Liu, Shuaiqi, Bandyopadhyay, Sankhyabrata, Yu, Feihong, Xu, Weijie, Wang, Chao, Li, Hengchao, Vai, Mang I., Du, Linlin, Zhang, Jinsheng and others. (2019) Data-Driven Distributed Optical Vibration Sensors: A Review. IEEE Sensors Journal, 20 (12). pp. 6224-6239. ISSN 1530-437X. (doi:10.1109/JSEN.2019.2939486) (KAR id:81961)

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https://doi.org/10.1109/JSEN.2019.2939486

Abstract

Distributed optical vibration sensors (DOVS) have attracted much attention recently since it can be used to monitor mechanical vibrations or acoustic waves with long reach and high sensitivity. Phase-sensitive optical time domain reflectometry (Φ-OTDR) is one of the most commonly used DOVS schemes. For Φ-OTDR, the whole length of fiber under test (FUT) works as the sensing instrument and continuously generates sensing data during measurement. Researchers have made great efforts to try to extract external intrusions from the redundant data. High signal-to-noise ratio (SNR) is necessary in order to accurately locate and identify external intrusions in Φ-OTDR systems. Improvement in SNR is normally limited by the properties of light source, photodetector and FUT. But this limitation can also be overcome by post-processing of the received optical signals. In this context, detailed methodologies of SNR enhancement post-processing algorithms in Φ-OTDR systems have been described in this paper. Furthermore, after successfully locating the external vibrations, it is also important to identify the types of source of the vibrations. Pattern classification is a powerful tool in recognizing the intrusion types from the vibration signals in practical applications. Recent reports of Φ-OTDR systems employed with pattern classification algorithms are subsequently reviewed and discussed. This thorough review will provide a design pathway for improving the performance of Φ-OTDR while maintaining the cost of the system as no additional hardware is required.

Item Type: Article
DOI/Identification number: 10.1109/JSEN.2019.2939486
Uncontrolled keywords: Fiber optics sensors, optical time domain reflectometry, phase-sensitive optical time domain reflectometry, scattering measurement
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Chao Wang
Date Deposited: 02 Jul 2020 14:54 UTC
Last Modified: 16 Feb 2021 14:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/81961 (The current URI for this page, for reference purposes)
Wang, Chao: https://orcid.org/0000-0002-0454-8079
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