Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction
AbstractThis 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
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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.
Sun Q, Feng H, Yan X, Zeng Z. Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction. Sensors. 2015; 15(7):15179-15197.Chicago/Turabian Style
Sun, Qian; Feng, Hao; Yan, Xueying; Zeng, Zhoumo. 2015. "Recognition of a Phase-Sensitivity OTDR Sensing System Based on Morphologic Feature Extraction." Sensors 15, no. 7: 15179-15197.