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Sensors 2018, 18(6), 1883;

Real-Time Phase-Sensitive OTDR Based on Data Matrix Matching Method

Key Laboratory of Advanced Transducers and Intelligent Control Systems, Taiyuan University of Technology, Ministry of Education and Shanxi Province, Taiyuan 030024, China
State Key Laboratory of Coal and CBM Co-mining, Jincheng 048012, China
Author to whom correspondence should be addressed.
Received: 17 April 2018 / Revised: 24 May 2018 / Accepted: 5 June 2018 / Published: 8 June 2018
(This article belongs to the Section Physical Sensors)
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Phase-sensitive optical time-domain reflectometry (Φ-OTDR) is an effective technique to accomplish fully distributed vibration measurement along the entire fiber link. In this paper, a novel data matrix matching method is proposed and successfully employed in the Φ-OTDR system for real-time vibration detection and type identification. By using the novel method, the quantized response time is presented and improved to millisecond level for the first time. Meanwhile, the data can be extracted completely without packet loss, thus allowing vibration type identification to be obtained while maintaining the system simplicity. The experimental results demonstrate that the vibration signals can be detected and located with an average response time of 50.1 ms, under a data transmission speed which can go up to 77.824 Mbps. Moreover, different vibration types such as sine waves and square waves which are applied to the sensing fiber through a piezoelectric ceramic (PZT) cylinder can also be successfully identified. This method provides an efficient solution for real-time vibration location and type identification, thus exhibiting considerable application potential in many practical situations. View Full-Text
Keywords: data matrix matching method; real-time vibration location; type identification; Φ-OTDR data matrix matching method; real-time vibration location; type identification; Φ-OTDR

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Liu, X.; Wang, Y.; Wu, R.; Wang, D.; Bai, Q.; Jin, B. Real-Time Phase-Sensitive OTDR Based on Data Matrix Matching Method. Sensors 2018, 18, 1883.

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