Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System
Single-path intensity-demodulated phase-sensitive optical time-domain reflectometer (φ-OTDR) is susceptible to noises and random interferences, which increases the probability of missing detection of external vibrations. In the work, a dual-channel φ-OTDR is experimentally inve...
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doaj-a3d8beb7455e4b7697e8c434574f83dc2021-03-30T15:13:28ZengIEEEIEEE Access2169-35362021-01-019203182033010.1109/ACCESS.2021.30535609333582Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR SystemZujun Qin0https://orcid.org/0000-0001-9775-6119Jiangjiang Gao1https://orcid.org/0000-0002-6068-2117Wangchun Zhu2https://orcid.org/0000-0002-9105-747XWentao Zhang3Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, ChinaGuangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, ChinaGuangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guilin, ChinaGuangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, ChinaSingle-path intensity-demodulated phase-sensitive optical time-domain reflectometer (φ-OTDR) is susceptible to noises and random interferences, which increases the probability of missing detection of external vibrations. In the work, a dual-channel φ-OTDR is experimentally investigated to detect pencil-break vibrations and to locate a running vehicle on a highway. For the two experiments, the double sensing channels are respective the LP<sub>01</sub> and LP<sub>11</sub> modes of a two-mode step-index fiber and two independent standard single-mode optical fibers extracted from an armored four-core cable. The Rayleigh scattering traces from the two channels are both collected and processed by the conventional differential accumulation algorithm (DAA) and standard deviation algorithm (SVA), respectively. Furthermore, a decision signal is proposed via fusing the accumulated differential signals by the DAA and the variances of the Rayleigh traces by the SVA, by which we are able to conclude whether there is a vibration signal over the sensing link. Experimental results demonstrate that our method is able to identify the vibrations caused by pencil breaks and moving vehicles, respectively, with a considerable improved reliability compared to the widely used DAA.https://ieeexplore.ieee.org/document/9333582/Dual-channel <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ϕ</italic>-OTDRmulti-path information fusionpencil-breakvehicle vibration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zujun Qin Jiangjiang Gao Wangchun Zhu Wentao Zhang |
spellingShingle |
Zujun Qin Jiangjiang Gao Wangchun Zhu Wentao Zhang Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System IEEE Access Dual-channel <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ϕ</italic>-OTDR multi-path information fusion pencil-break vehicle vibration |
author_facet |
Zujun Qin Jiangjiang Gao Wangchun Zhu Wentao Zhang |
author_sort |
Zujun Qin |
title |
Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System |
title_short |
Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System |
title_full |
Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System |
title_fullStr |
Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System |
title_full_unstemmed |
Vibration Detection Based on Multipath Information Fusion in Dual-Channel <italic>ϕ</italic>-OTDR System |
title_sort |
vibration detection based on multipath information fusion in dual-channel <italic>ϕ</italic>-otdr system |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Single-path intensity-demodulated phase-sensitive optical time-domain reflectometer (φ-OTDR) is susceptible to noises and random interferences, which increases the probability of missing detection of external vibrations. In the work, a dual-channel φ-OTDR is experimentally investigated to detect pencil-break vibrations and to locate a running vehicle on a highway. For the two experiments, the double sensing channels are respective the LP<sub>01</sub> and LP<sub>11</sub> modes of a two-mode step-index fiber and two independent standard single-mode optical fibers extracted from an armored four-core cable. The Rayleigh scattering traces from the two channels are both collected and processed by the conventional differential accumulation algorithm (DAA) and standard deviation algorithm (SVA), respectively. Furthermore, a decision signal is proposed via fusing the accumulated differential signals by the DAA and the variances of the Rayleigh traces by the SVA, by which we are able to conclude whether there is a vibration signal over the sensing link. Experimental results demonstrate that our method is able to identify the vibrations caused by pencil breaks and moving vehicles, respectively, with a considerable improved reliability compared to the widely used DAA. |
topic |
Dual-channel <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ϕ</italic>-OTDR multi-path information fusion pencil-break vehicle vibration |
url |
https://ieeexplore.ieee.org/document/9333582/ |
work_keys_str_mv |
AT zujunqin vibrationdetectionbasedonmultipathinformationfusionindualchannelitalicx03d5italicotdrsystem AT jiangjianggao vibrationdetectionbasedonmultipathinformationfusionindualchannelitalicx03d5italicotdrsystem AT wangchunzhu vibrationdetectionbasedonmultipathinformationfusionindualchannelitalicx03d5italicotdrsystem AT wentaozhang vibrationdetectionbasedonmultipathinformationfusionindualchannelitalicx03d5italicotdrsystem |
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1724179898965164032 |