High-Speed Distributed Sensing Based on Ultra Weak FBGs and Chromatic Dispersion

Ma, Ling; Ma, Cheng; Wang, Yunmiao; Wang, Dorothy Y.; Wang, Anbo

doi:10.1109/lpt.2016.2540662

Cited by 31 publications

(19 citation statements)

References 16 publications

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“…Moreover, R is also limited by the multi-path reflection between different time domains, which should satisfy the following relationship17…”

Section: Discussionmentioning

confidence: 99%

“…Using the identical ultra-weak FBG as the sensing unit is referred as λ-OTDR16. Single detection can obtain the measurands along several kilometers long fiber17, and thousands of sensing points can be multiplexed1819. However, the realized spatial resolution is limited to only 1 m172021, owing to the single location mechanism determined by the delay time between the back reflected light pulses and the input pulse.…”

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confidence: 99%

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M-OTDR sensing system based on 3D encoded microstructures

Sun

Liu

et al. 2017

Sci Rep

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In this work, a quasi-distributed sensing scheme named as microstructured OTDR (M-OTDR) by introducing ultra-weak microstructures along the fiber is proposed. Owing to its relative higher reflectivity compared with the backscattered coefficient in fiber and three dimensional (3D) i.e. wavelength/frequency/time encoded property, the M-OTDR system exhibits the superiorities of high signal to noise ratio (SNR), high spatial resolution of millimeter level and high multiplexing capacity up to several ten thousands theoretically. A proof-of-concept system consisting of 64 sensing units is constructed to demonstrate the feasibility and sensing performance. With the help of the demodulation method based on 3D analysis and spectrum reconstruction of the signal light, quasi-distributed temperature sensing with a spatial resolution of 20 cm as well as a measurement resolution of 0.1 °C is realized.

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“…Moreover, R is also limited by the multi-path reflection between different time domains, which should satisfy the following relationship17…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

M-OTDR sensing system based on 3D encoded microstructures

Sun

Liu

et al. 2017

Sci Rep

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“…It can also enable new functionalities to existing applications. Currently, there are two major categories of distributed sensing systems: optical fiber-based sensing system [21][22][23][24][25][26][27][28] and electrical cable-based sensing system. [29][30][31][32][33][34] Optical sensing systems can provide high resolution and sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Flexible Multi‐Material Fibers for Distributed Pressure and Temperature Sensing

Parker

Xuan

et al. 2020

Adv Funct Materials

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With the recent development of wearable electronics and smart textiles, flexible sensor technology is gaining increasing attention. Compared to flexible film‐based sensors, multimaterial fiber‐based technology offers unique advantages due to the breathability, durability, wear resistance, and stretchability in fabric structures. Despite the significant progress made in the fabrication and application of fiber‐based sensors, none of the existing fiber technologies allow for fully distributed pressure or temperature sensing. Herein, the design and fabrication of thermally drawn multi‐material fibers that offer distributed temperature and pressure measurement capability is reported. Thermoplastic materials, thermoplastic elastomers, and metal electrodes are successfully co‐drawn in one fiber. The embedded electrodes inside the fibers form a parallel wire transmission line, and the local characteristic impedance is designed to change with the temperature or pressure. The electrical frequency domain reflectometry is used to interrogate the impedance change along the fiber and provides information with high spatial resolution. The two types of fibers reported in this manuscript have a pressure sensitivity of 4 kPa and a temperature sensitivity of 2 °C, respectively. This work can pave the road for development of functional fibers and textiles for pressure and temperature mapping.

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“…[1][2][3][4] Over the past decade, research efforts have been made to develop a series of techniques all towards improvement the performance of Φ-OTDR technology [5][6][7]. However, the very weak Rayleigh back scattering signal is fundamentally limiting the performance of all Φ-OTDR [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Interrogation of Ultra-Weak FBG Array Using Double-Pulse and Heterodyne Detection

Liu

Wang

Zhang

et al. 2018

IEEE Photon. Technol. Lett.

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A high performance interrogation method for ultra-weak FBG (UWFBG) using double-pulse and heterodyne detection method is proposed. The perturbation along the UWFBG array is located quickly through the use of double-pulsed optical input waveform. Then the perturbation of fiber is quantified precisely by demodulating the phase of differential signals from a heterodyne configuration. The efficiency of measuring the perturbation is improved by more than 20 times than that of using single probe pulse. In comparison with conventional Rayleigh scattering based approach, the proposed method is supreme in signal-to-noise ratio (SNR), approximately 18 dB higher. The use of differential signaling method can effectively remove the influence from frequency drift of the laser source, making this proposed method capable of measuring low frequency vibration. In our experiment, perturbations with both sinusoidal and triangle waveform were generated to quantitatively evaluate the performance of the proposed method. The minimum detectable fiber length variation is 14.85 nm, and the sensing frequency can be as low as 0.2 Hz.

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High-Speed Distributed Sensing Based on Ultra Weak FBGs and Chromatic Dispersion

Cited by 31 publications

References 16 publications

M-OTDR sensing system based on 3D encoded microstructures

M-OTDR sensing system based on 3D encoded microstructures

Flexible Multi‐Material Fibers for Distributed Pressure and Temperature Sensing

Interrogation of Ultra-Weak FBG Array Using Double-Pulse and Heterodyne Detection

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