Beyond 21 km Distributed Strain Measurement with Brillouin Optical Correlation Domain Reflectometry Using Polarization Diversity Method and Temporal Gating Scheme

Furukawa, Osamu; Tezuka, Shin-ichirou; Takasu, Masaki; Matsuura, Sumio; Kishi, Masato; Hotate, Kazuo

doi:10.1541/ieejfms.137.52

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…We discussed four reasons why the SNR was relatively low in this measurement. Although there is a report that BOCDR with such a long measurement range properly operated [17], the temporal gating scheme was employed to extend the measurement range [13] and, in that case, a long delay line did not need to be used. Unlike this report, our study is useful on the point that the influences of the long delay line on the performance of BOCDR have been investigated for the first time to the best of our knowledge.…”

Section: Discussionmentioning

confidence: 99%

Distributed temperature sensing based on slope‐assisted Brillouin optical correlation‐domain reflectometry with over 10 km measurement range

2019

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The authors demonstrate distributed temperature sensing based on slope-assisted Brillouin optical correlation-domain reflectometry (BOCDR) with a long measurement range of >10 km. They find that to achieve such a long-range measurement, a delay line in a reference path needs to be at least four times longer than the sensing fibre. In addition, they show that the use of such a long delay line induces forward-propagating Brillouin-scattered light in the reference path, which deteriorates the signal-to-noise ratio (SNR) of the system and should be suppressed. Finally, by exploiting a beyond-nominalresolution effect of the slope-assisted BOCDR, they detect a 3-m-long heated section in a 13-km-long silica fibre in a distributed manner; the reason for its low SNR is also discussed.

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Section: Discussionmentioning

confidence: 99%

Distributed temperature sensing based on slope‐assisted Brillouin optical correlation‐domain reflectometry with over 10 km measurement range

2019

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“…BFS distribution of FUT was measured using BOCDR. This measurement was previously reported by us; please refer to literature, 13,19 for details of measurement conditions. The fiber with a length of over 21 km shown in Figure 2A was used in measurement with temporal gating 20 at spatial resolution of 20 cm; the fiber with a length of 26 m shown in Figure 2B was used in measurement without temporal gating at spatial resolution of 10 cm.…”

Section: Experimental Confirmation Of Pttamentioning

confidence: 96%

“…A problem common for optical fiber sensors using Brillouin scattering light is that when two peaks exist in Brillouin gain spectrum (BGS), the peak pertaining to BFS due to temperature and/or strain at observation point may be misrecognized 13,14 . Such false detection occurs when an optical fiber spans two areas with different temperature, or when two different strains are applied to an optical fiber.…”

Section: Introductionmentioning

confidence: 99%

“…12 A problem common for optical fiber sensors using Brillouin scattering light is that when two peaks exist in Brillouin gain spectrum (BGS), the peak pertaining to BFS due to temperature and/or strain at observation point may be misrecognized. 13,14 Such false detection occurs when an optical fiber spans two areas with different temperature, or when two different strains are applied to an optical fiber. It is important to improve signal-to-noise ratio (SNR) of optical fiber sensors for prevention of false detection, but noise cannot be completely removed, and the problem of false detection cannot be solved solely by signal-to-noise ratio (SNR) improvement.…”

Section: Introductionmentioning

confidence: 99%

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Prevention of false peak detection of Brillouin gain spectrum by using peak tracking and trend analysis

Furukawa

2020

Elect Comm in Japan

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Distributed optical fiber sensor based on a peak‐frequency change of a spectrum of Brillouin scattering light has been extensively studied since it can measure strain and/or temperature in various applications. The distributed optical fiber sensor observes the spectrum of backscattered light from the specified section according to a spatial resolution and determines strain and/or temperature based on the peak‐frequency change of the spectrum. However, the observed spectrum may have two maximum peaks that correspond to strain and/or temperature included in the specified section of the optical fiber. Overlapped noise by the interrogator system to two peaks on the Brillouin gain spectrum causes false detection of the maximum peak‐frequency. Although this false detection may occur, no workarounds has been discussed yet. This article proposes a workaround by method of “peak tracking and trend analysis” that considers the change of peak intensity to determine peak frequency of the spectrum and confirms its effect of preventing false peak detection of Brillouin gain spectrum.

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“…, the calculation of the three components of R, G, and B according to formula (10) is more suitable for the grayscale image of human vision [23][24]:…”

Section: Feature Point Extractionmentioning

confidence: 99%

A Non-contact VR Video Image Measuring System for Cell Strain Measurement and Mechanical Performance Characterization

2022

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VR panorama, or virtual reality, has become a new medium for mass media. Its collection of special technical hardware including computers, head-mounted displays, headphones, and motion-sensitive gloves has been widely used in various fields. The purpose of this article is to study a non-contact VR video image measurement system that can be used for cell strain measurement and mechanical property characterization. In this paper, through the extraction of cell feature points, as well as cell morphology processing and image graying, etc. The observed static cells exhibit dynamics. Under the example test of the protein elastic deformation measurement experiment in the cell nucleus and the mechanical characterization experiment of the cell hardness measurement, it is concluded that the percentage of the volume strain change of the cell is about The result of the shear strain change percentage is about 4 times, and the maximum relative error of the image measurement system is 2.36%, which indicates that the measurement of the VR video image measurement system in this paper is feasible and effective. It better solves the shortcomings of current cell observation and measurement, and can be applied to modern biological development or medical research with more excellent technology.

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Beyond 21 km Distributed Strain Measurement with Brillouin Optical Correlation Domain Reflectometry Using Polarization Diversity Method and Temporal Gating Scheme

Cited by 6 publications

References 5 publications

Distributed temperature sensing based on slope‐assisted Brillouin optical correlation‐domain reflectometry with over 10 km measurement range

Distributed temperature sensing based on slope‐assisted Brillouin optical correlation‐domain reflectometry with over 10 km measurement range

Prevention of false peak detection of Brillouin gain spectrum by using peak tracking and trend analysis

A Non-contact VR Video Image Measuring System for Cell Strain Measurement and Mechanical Performance Characterization

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