Noise Analysis of φ-OTDR Vibration Sensing System

The interference principle of backscattering light in the optical fiber is analyzed theoretically and the sensing mechanism of φ-OTDR vibration sensor system is introduced briefly in this paper. The trace of backward Rayleigh scattering is obtained by MATLAB simulation, and it is compared to the scattering curve by experiment. The result shows that noise is inevitable in the experiment, and the desired signal is difficult to be detected for the high noise amplitude. For obtaining high SNR in the experiment, the compositions and causes of the noise is introduced and the effective suppression method are put forward.

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Research on FBG Vibration Sensing Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.391.340 ◽

2013 ◽

Vol 391 ◽

pp. 340-343

Author(s):

Zhi Yang ◽

Wei Liu ◽

Ting An

Keyword(s):

Fiber Bragg Grating ◽

High Performance ◽

Vibration Sensor ◽

Fiber Grating ◽

Key Technology ◽

Sensing System ◽

Vibration Detection ◽

Sensing Technology ◽

Vibration Sensing ◽

Signal Demodulation

With the progress of fiber grating sensing technology, FBG gradually become high-performance vibration sensor and has been widely used in vibration detection. Vibration sensing signal demodulation is the key technology for fiber Bragg grating sensing system. This paper details several fiber grating vibration sensor demodulation techniques and gives experiment result.

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Recent Progress in the Performance Enhancement of Phase-Sensitive OTDR Vibration Sensing System

10.20944/preprints201903.0037.v1 ◽

2019 ◽

Author(s):

Romain Zinsou ◽

Xin Liu ◽

Yu Wang ◽

Jianguo Zhang ◽

Yuncai Wang ◽

...

Keyword(s):

Recent Progress ◽

Performance Enhancement ◽

Signal To Noise Ratio ◽

Vibration Sensor ◽

Sensor System ◽

Sensing System ◽

Vibration Sensing ◽

Signal Demodulation ◽

Phase Signal ◽

Phase Sensitive

Recently, the phase-sensitive OTDR (Φ-OTDR) based vibration sensor system has gained the focus of many researchers and some efforts have been undertaken to push further the limitations imposed on the performance of the Φ-OTDR sensor system. Then, progress in the different areas of its performance evaluation factors such as: improvement of the signal-to-noise ratio (SNR), spatial resolution (SR) in the sub-meter range, enlargement of the sensing range, frequency response bandwidth over the conventional limit and phase signal demodulation for quantitative measurement have been realized. This paper presents an overview of the recent progress in the Φ-OTDR based vibration sensing system in the different areas mentioned above.

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Vibration Sensing and Impact Location Detection Using Optical Fiber Vibration Sensor

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.183-187.661 ◽

2000 ◽

Vol 183-187 ◽

pp. 661-666

Author(s):

Y.C. Yang ◽

W. Hwang ◽

Hyun Chul Park ◽

Kyung Seop Han

Keyword(s):

Optical Fiber ◽

Vibration Sensor ◽

Impact Location ◽

Vibration Sensing ◽

Location Detection

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A Combined Events Recognition Scheme Using Hybrid Features in Distributed Optical Fiber Vibration Sensing System

IEEE Access ◽

10.1109/access.2019.2932187 ◽

2019 ◽

Vol 7 ◽

pp. 105609-105616

Author(s):

Kun Liu ◽

Zhenshi Sun ◽

Junfeng Jiang ◽

Pengfei Ma ◽

Shuang Wang ◽

...

Keyword(s):

Optical Fiber ◽

Hybrid Features ◽

Sensing System ◽

Vibration Sensing ◽

Distributed Optical Fiber

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Optical Fibres for Condition Monitoring of Railway Infrastructure—Encouraging Data Source or Errant Effort?

Applied Sciences ◽

10.3390/app10176016 ◽

2020 ◽

Vol 10 (17) ◽

pp. 6016 ◽

Cited By ~ 1

Author(s):

Ivan Vidovic ◽

Stefan Marschnig

Keyword(s):

Rayleigh Scattering ◽

Acoustic Vibration ◽

Optical Fibres ◽

Maintenance Planning ◽

Root Cause ◽

Railway Tracks ◽

Railway Infrastructure ◽

Vibration Sensing ◽

Data Source ◽

Asset Data

The condition of railway infrastructure is currently assessed by track recording cars, wayside equipment, onboard monitoring techniques and visual inspections. These data sources deliver valuable information for infrastructure managers on the asset’s condition but are mostly carried out in time-based intervals. This paper examines the potential of fibre optic cables, which are already installed in cable troughs alongside railway tracks, to monitor railway infrastructure conditions. The sensing technique, known as distributed acoustic/vibration sensing (DAS/DVS), relies on the effect of Rayleigh scattering and transforms the optical fibre into an array of “virtual microphones” in the thousands. This sensing method has the ability to be used over long distances and thus provide information about the events taking place in the proximity of the monitored asset in real-time. This study outlines the potential of DAS for the identification of different track conditions and isolated track defects. The results are linked to asset data of the infrastructure manager to identify the root cause of the detected signal anomalies and pattern. A methodology such as this allows for condition-based and component-specific maintenance planning and execution and avoids the installation of additional sensors. DAS can pave the way toward a permanent and holistic assessment of railway tracks.

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