High-resolution distributed shape sensing using phase-sensitive optical time-domain reflectometry and multicore fibers

Szostkiewicz, Lukasz; Soto, Marcelo A.; Yang, Zhisheng; Dominguez-Lopez, Alejandro; Parola, Itxaso; Markiewicz, Krzysztof; Pytel, Anna; Kołakowska, Agnieszka; Napierała, Marek; Nasiłowski, Tomasz; Thévenaz, Luc

doi:10.1364/oe.27.020763

Cited by 37 publications

(13 citation statements)

References 23 publications

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“…With appropriate optical configurations, Φ-OTDR is capable of measuring vibration 23 , strain or temperature distribution 36,37,175 at high spatial resolution (~m) over long distance (~km). Such ability makes Φ-OTDR a promising tool in various scenarios, including geological exploration , perimeter monitoring [102][103][104][105][106][107][108][109][110][111][112] , traffic sensing 73,[113][114][115][116][117][118] , partial discharge monitoring 78,[119][120][121] , and other novel applications 94,95,[176][177][178][179][180][181][182][183] . This section reviews the recent progress of advancing Φ-OTDR applications in separate fields.…”

Section: Applications Of φ-Otdrmentioning

confidence: 99%

Advances in phase-sensitive optical time-domain reflectometry

Liu¹,

Yu²,

Hong³

et al. 2022

OEA

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Phase-sensitive optical time-domain reflectometry (Φ-OTDR) has attracted numerous attention due to its superior performance in detecting the weak perturbations along the fiber. Relying on the ultra-sensitivity of light phase to the tiny deformation of optical fiber, Φ-OTDR has been treated as a powerful technique with a wide range of applications. It is fundamental to extract the phase of scattering light wave accurately and the methods include coherent detection, I/Q demodulation, 3 by 3 coupler, dual probe pulses, and so on. Meanwhile, researchers have also made great efforts to improve the performance of Φ -OTDR. The frequency response range, the measurement accuracy, the sensing distance, the spatial resolution, and the accuracy of event discrimination, all have been enhanced by various techniques. Furthermore, lots of researches on the applications in various kinds of fields have been carried out, where certain modifications and techniques have been developed. Therefore, Φ-OTDR remains as a booming technique in both researches and applications.

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Section: Applications Of φ-Otdrmentioning

confidence: 99%

Advances in phase-sensitive optical time-domain reflectometry

Liu¹,

Yu²,

Hong³

et al. 2022

OEA

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“…In order to theoretically reconstruct the bend angle and tip deviation based on the loss measurements of the proposed fiber, we have followed a method similar to the one presented in [18]. From the measurement data we created 6 points in a 3D space defined as:…”

Section: B Theoretical Reconstruction Of the Bending Angle And Tip Deviationmentioning

confidence: 99%

“…angle is crucial in reliably estimating the shape of the fiber and thereby, the shape of the element being sensed. Recently, distributed sensing techniques have been explored for the detection of bending using MCF like Brillouin optical time domain analysis (BOTDA) [17], and more recently phasesensitive optical time-domain reflectometry (ϕ-OTDR) [18], which presents a higher sensitivity level. These techniques allow both bending orientation and radius to be detected, but distributed sensing requires complex architectures and interrogations systems, which increases the difficulty and costs of such systems.…”

mentioning

confidence: 99%

All-Fiber Vector Bending Sensor Based on a Multicore Fiber With Asymmetric Air-Hole Structure

Budnicki¹,

Parola²,

Szostkiewicz³

et al. 2020

J. Lightwave Technol.

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In this paper we present an all-fiber vector bend sensor by means of a self-fabricated micro-structured multicore optical fiber. The reported solution is based on differential intensity variations of the light transmitted along the cores whose changes are influenced by the bending angle and orientation. The unique asymmetric structure of the air-holes in the optical fiber provides each core with different confinement losses of the fundamental mode depending on the bending radius and orientation, making each of the cores bend-sensitive in a range of at least 80°. It has been experimentally demonstrated that the reported sensor enables the bending angle and orientation to be detected in a full range of 360° without any dead-zones, and the possibility of end point detection with millimeter precision. Additionally, a reconstruction of the bending vector has been carried out theoretically, and a good match can be observed between the experimental and theoretical data.

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“…Szostkiewicz et al used a phase-sensitive optical time-domain reflectometry (phase-OTDR) to achieve DSS. Although the strain sensing sensitivity of phase-OTDR is up to nano-strain level, the spatial resolution of this system is still not high, about 10 cm [10]. In addition, the static strain measurement using phase-OTDR is not very stable because the phase is easily influenced by extern environment vibration.…”

Section: Introductionmentioning

confidence: 97%

Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers

et al. 2021

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In distributed shape sensing, the shape reconstruction error is more and more sensitive to the strain measuring error along with curvature radius of reconstructed shape increasing, which causes a notable challenge for large curvature radius shape reconstructing. In this paper, we demonstrate a large curvature radius shape sensing using optical frequency domain reflectometry (OFDR) in multi-core fibers. We construct a theoretical model of strain measuring error and curvature radius reconstructing errors under different curvature radius. In the experiment, by this reconstructing error model, we optimally select the measurable strain resolution and the sensing spatial resolution to realize the shape reconstruction with a large curvature radius and reconstruct two-dimensional (2D) circle shapes of curvature radii from 5 cm to 100 cm. To verify the accuracy of three-dimensional (3D) shape reconstruction, we present a 3D shape sensing validation method based on 3D printing technology. We fabricate a 3D phantom containing a groove with a variable curvature radius of 5 cm to 100 cm. The presented distributed shape sensing system realize to reconstruct this complicated 3D shape. The root-mean-square error of curvature radius between the reconstructed and designed 3D space curves is 7.2 mm and the mean Euclidean distance is 3.4 mm.

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High-resolution distributed shape sensing using phase-sensitive optical time-domain reflectometry and multicore fibers

Cited by 37 publications

References 23 publications

Advances in phase-sensitive optical time-domain reflectometry

Advances in phase-sensitive optical time-domain reflectometry

All-Fiber Vector Bending Sensor Based on a Multicore Fiber With Asymmetric Air-Hole Structure

Demonstration of Large Curvature Radius Shape Sensing Using Optical Frequency Domain Reflectometry in Multi-Core Fibers

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