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Research on the classification algorithm of distributed optical fiber sensing system based on image
Author(s): Beini Xu; Yue Yang; Zheng Zhang; Ming Tian; Lei Dong
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Paper Abstract

In a pipeline monitoring system, the engines of machines passing by can lead to vibration excitation for the optical fiber. The signal generated by the vehicle driving is similar to the excavation disturbance signal. Therefore, it may generate incorrect classification for one dimensional signal recognition by the pre-warning system. An image - based signal processing method was built to solve these problems. Firstly, completing differential operation for all detection points in the whole detection range, and dividing the differential data basing on the threshold value. Then extracting the event areas based on the method of the image introduced in this paper. Finally, utilizing the Hough transform to extract the existing line segments, and analyzing the slopes to determine the type of events. This method can effectively eliminate noise interference and reduce misinformation and omission alarm at the same time. This research will ultimately provide the basis for judging the output of alarm events in distributed optical fiber vibration sensing system.

Paper Details

Date Published: 12 December 2018
PDF: 6 pages
Proc. SPIE 10849, Fiber Optic Sensing and Optical Communication, 108490F (12 December 2018); doi: 10.1117/12.2503952
Show Author Affiliations
Beini Xu, Wuhan Research Institute of Post and Telecommunication (China)
Wuhan WUTOS Technology Co. Ltd. (China)
Yue Yang, Wuhan WUTOS Technology Co. Ltd. (China)
Zheng Zhang, Wuhan WUTOS Technology Co. Ltd. (China)
Ming Tian, Wuhan WUTOS Technology Co. Ltd. (China)
Lei Dong, Wuhan WUTOS Technology Co. Ltd. (China)

Published in SPIE Proceedings Vol. 10849:
Fiber Optic Sensing and Optical Communication
Jie Zhang; Songnian Fu; Qunbi Zhuge; Ming Tang; Tuan Guo, Editor(s)

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