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Sensors 2015, 15(7), 15179-15197; doi:10.3390/s150715179

Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction

Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China
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Academic Editor: Lorenzo Pavesi
Received: 8 May 2015 / Revised: 15 June 2015 / Accepted: 19 June 2015 / Published: 29 June 2015
(This article belongs to the Special Issue Silicon Based Optical Sensors)
View Full-Text   |   Download PDF [4827 KB, uploaded 29 June 2015]   |  

Abstract

This paper proposes a novel feature extraction method for intrusion event recognition within a phase-sensitive optical time-domain reflectometer (Φ-OTDR) sensing system. Feature extraction of time domain signals in these systems is time-consuming and may lead to inaccuracies due to noise disturbances. The recognition accuracy and speed of current systems cannot meet the requirements of Φ-OTDR online vibration monitoring systems. In the method proposed in this paper, the time-space domain signal is used for feature extraction instead of the time domain signal. Feature vectors are obtained from morphologic features of time-space domain signals. A scatter matrix is calculated for the feature selection. Experiments show that the feature extraction method proposed in this paper can greatly improve recognition accuracies, with a lower computation time than traditional methods, i.e., a recognition accuracy of 97.8% can be achieved with a recognition time of below 1 s, making it is very suitable for Φ-OTDR system online vibration monitoring. View Full-Text
Keywords: Φ-OTDR; morphology; feature extraction; intrusion event recognition Φ-OTDR; morphology; feature extraction; intrusion event recognition
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sun, Q.; Feng, H.; Yan, X.; Zeng, Z. Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction. Sensors 2015, 15, 15179-15197.

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