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

Sensors

Qian Sun²  Hao Feng¹  Xueying Yan²  Zhoumo Zeng² 

[1] Tianjin University, State Key Laboratory of Precision Measurement Technology & Instruments, 92 Weijin Road, Nankai District, Tianjin 300072, China;

关键词: Φ-OTDR;    morphology;    feature extraction;    intrusion event recognition;   

DOI  :  10.3390/s150715179

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.