Structural monitoring system with fiber Bragg grating sensors: implementation and software solution

Fedorov, Aleksey K.; Lazarev, Vladimir A.; Makhrov, Ilya; Pozhar, Nikolay; Anufriev, M.N.; Pnev, Alexey B.; Karasik, Valeriy E.

doi:10.1088/1742-6596/594/1/012049

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…FBGs for strain and temperature sensing applications usually range from 5 to 20 mm [53][54][55]. In corrosion sensing, however, larger FBG lengths are desired to obtain sensor response over larger physical areas that are more representative of the structural health state.…”

Section: Fbg Selection Typical Lengths Of Ordinary/commercialmentioning

confidence: 99%

High-Order Fiber Bragg Grating Corrosion Sensor Based on the Detection of a Local Surface Expansion

Budinski

Njegovec

Pevec

et al. 2023

Structural Control and Health Monitoring

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This paper presents a fiber optic sensor for the detection of corrosion processes that occur on metal surfaces. In the proposed sensor design, a sensing fiber with an inscribed high-order Bragg grating is attached to the observed metal surface. A broadening of high-order Bragg grating spectral characteristics is observed and used to detect small and highly localized longitudinal strain variations that occur along the fiber as a result of corrosive rust flakes’ formations beneath the sensing fiber. The proposed approach provides a straightforward fabrication method, the possibility for unobtrusive mounting, including mounting of the sensor beneath the corrosion-protective layers, and consistent corrosion detection yields.

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Section: Fbg Selection Typical Lengths Of Ordinary/commercialmentioning

confidence: 99%

High-Order Fiber Bragg Grating Corrosion Sensor Based on the Detection of a Local Surface Expansion

Budinski

Njegovec

Pevec

et al. 2023

Structural Control and Health Monitoring

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“…During last decades, significant attention has been paid to distributed fiber optic sensing systems, which are of great importance for monitor of extended objects [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. One of the most promising sensing technique is OTDR [1].…”

Section: Introductionmentioning

confidence: 99%

Phase-sensitive optical time-domain reflectometry with pulse mode EDFA: Probe pulse preparation

Chernutsky¹,

Zhirnov²,

Fedorov³

et al. 2017

2017 Progress in Electromagnetics Research Symposium - Spring (PIERS)

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Probe pulse preparation techniques play an important role for fiber-optic sensing.In this work, we investigate a setup for distributed sensors based on phase-sensitive optical timedomain reflectometry (Φ-OTDR) with the use of an erbium doped fibre amplifier (EDFA). In our Φ-OTDR setup with pulse mode EDFA, we reveal a regime providing us both sufficiently large amplification of the probe pulse power together and adequately small probe pulse distortion. We then show that the use of pulse mode EDFA is a cost-effective solution, which allows one to avoid nonlinear effect and ensure sufficient sensitivity of the setup.

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“…The problem of the development of novel sensor techniques plays a crucial role in science and technology. One of the most important classes of sensing systems is distributed sensors, which are of great importance for the remote control of extended objects [1][2][3][4][5][6][7][8]. Phase-sensitive coherent optical time-domain reflectometry (Φ-OTDR) is a basic technique that can provide sufficient sensitivity and resolution for these distributed sensing systems [4][5][6].…”

mentioning

confidence: 99%

Note: Gaussian mixture model for event recognition in optical time-domain reflectometry based sensing systems

Fedorov

Anufriev

Zhirnov

et al. 2016

Review of Scientific Instruments

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We propose a novel approach to the recognition of particular classes of non-conventional events in signals from phase-sensitive optical time-domain-reflectometry-based sensors. Our algorithmic solution has two main features: filtering aimed at the de-nosing of signals and a Gaussian mixture model to cluster them. We test the proposed algorithm using experimentally measured signals. The results show that two classes of events can be distinguished with the best-case recognition probability close to 0.9 at sufficient numbers of training samples.The problem of the development of novel sensor techniques plays a crucial role in science and technology. One of the most important classes of sensing systems is distributed sensors, which are of great importance for the remote control of extended objects [1][2][3][4][5][6][7][8]. Phase-sensitive coherent optical time-domain reflectometry (Φ-OTDR) is a basic technique that can provide sufficient sensitivity and resolution for these distributed sensing systems [4][5][6]. Standard OTDR techniques use light sources with coherence lengths, which are shorter than pulse lengths. This can yield a sum of backscattered intensities from each scattering center, which allows one, e.g., to control splices and breaks in fiber cables [8]. On the contrary, in Φ-OTDR-based sensing systems [9][10][11][12][13][14], the coherence length of lasers is longer than their pulse length. An event near the optical fiber generates an acoustic wave that affects the fiber by changing the phases of the backscattering centers. An analysis of such signals can reveal their impact on the sensor and monitor located near fiber objects [9][10][11][12][13][14]. A key stage in implementing Φ-OTDRbased sensors is the development of an algorithmic solution to reveal unusual vibrations in the background.The problem of the recognition of non-conventional activity (a target event) consists of two closely related subproblems. The first is related to the de-noising procedure, which allows the detection of an event in the background with high probability. The second and much more important subproblem is the development of a classification methods aimed at clustering detected target events into predetermined classes. Due to the complex structure of the signals in such sensors, this is challenging [15][16][17][18][19][20][21][22][23].In addition to guaranteeing high accuracy of recognition, post-processing algorithms for Φ-OTDR-based sensors should be able to operate rapidly without significant computational resources. In other cases, their application in real-time distributed fiber optic sensing systems is substantially limited. In vibration sensing systems based on Φ-OTDR-based, there is at present no sufficiently fast and versatile algorithmic solution for the recognition of events. A promising direction for the solution of this problem is using of a machine learning toolbox, in particular neural networks and pattern recognition techniques [20][21][22][23]. Recent results [21][22][23] have shown that recognition algorithm...

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Structural monitoring system with fiber Bragg grating sensors: implementation and software solution

Cited by 9 publications

References 9 publications

High-Order Fiber Bragg Grating Corrosion Sensor Based on the Detection of a Local Surface Expansion

High-Order Fiber Bragg Grating Corrosion Sensor Based on the Detection of a Local Surface Expansion

Phase-sensitive optical time-domain reflectometry with pulse mode EDFA: Probe pulse preparation

Note: Gaussian mixture model for event recognition in optical time-domain reflectometry based sensing systems

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