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Special Issue "Research Progress and Applications of Distributed Optical Fiber Sensing"

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: 15 November 2023 | Viewed by 1965

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Special Issue Editors

Dr. Hailiang Zhang

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Guest Editor

Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore
Interests: optical fiber sensors; multicore fiber sensors; distributed fiber sensors

Dr. Dora Juan Juan Hu

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Guest Editor

Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore
Interests: photonics and optics; infrastructure and asset integrity; sensors
Special Issues, Collections and Topics in MDPI journals

Dr. Zhiyong Zhao

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Guest Editor

Wuhan National Lab for Optoelectronics (WNLO), School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: fiber optics; optical fiber sensor; nonlinear fiber optics

Special Issue Information

Dear Colleagues,

Distributed optical fiber sensors (DOFSs) have attracted increasing attention from academia and industry in the past several decades. The growing demands in fields such as gas and oil, structural health monitoring, and geophysical science have accelerated the research and development of DOFSs with high sensing performance. However, DOFSs still encounter challenges in both upstream research and downstream applications. For example, innovative ideas are needed to achieve performance enhancements including high measurement accuracy, high spatial resolution, long sensing length and large dynamic sensing range. The widespread implementation of the DOFSs in industry applications is often hindered by costly interrogation systems. We hope to collect innovative ideas and schemes of DOFSs to address the challenges and to provide new opportunities.

This Special Issue will focus on the latest developments of DOFS systems and their applications, including advanced signal processing, innovative DOFS techniques and solutions.

Relevant topics include, but are not limited to, the following:

Principles and schemes of innovative distributed optical fiber sensing techniques;
Novel distributed fiber sensing systems;
AI-assisted distributed optical fiber sensing and signal processing;
Applications of distributed optical fiber sensors in hash environments;
Field trial results of advanced DOFSs for practical applications.

Dr. Hailiang Zhang
Dr. Dora Juan Juan Hu
Dr. Zhiyong Zhao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

optical fiber sensors
distributed optical fiber sensing
sensing systems
sensing signal processing
machine learning and artificial intelligence
dynamic sensing

Published Papers (3 papers)

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Research

Open AccessArticle

π-FBG Fiber Optic Acoustic Emission Sensor for the Crack Detection of Wind Turbine Blades

and

Sensors 2023, 23(18), 7821; https://doi.org/10.3390/s23187821 - 12 Sep 2023

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Abstract

Wind power is growing rapidly as a green and clean energy source. As the core part of a wind turbine, the blades are subjected to enormous stress in harsh environments over a long period of time and are therefore extremely susceptible to damage, while at the same time, they are costly, so it is important to monitor their damage in a timely manner. This paper is based on the detection of blade damage using acoustic emission signals, which can detect early minor damage and internal damage to the blades. Instead of conventional piezoelectric sensors, we use fiber optic gratings as sensing units, which have the advantage of small size and corrosion resistance. Furthermore, the sensitivity of the system is doubled by replacing the conventional FBG (fiber Bragg grating) with a π-phase-shifted FBG. For the noise problem existing in the system, this paper combines the traditional WPD (wavelet packet decomposition) denoising method with EMD (empirical mode decomposition) to achieve a better noise reduction effect. Finally, small wind turbine blades are used in the experiment and their acoustic emission signals with different damage are collected for feature analysis, which sets the stage for the subsequent detection of different damage degrees and types. Full article

(This article belongs to the Special Issue Research Progress and Applications of Distributed Optical Fiber Sensing)

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Open AccessArticle

Spatially Modulated Fiber Speckle for High-Sensitivity Refractive Index Sensing

and

Sensors 2023, 23(15), 6814; https://doi.org/10.3390/s23156814 - 31 Jul 2023

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Abstract

A fiber speckle sensor (FSS) based on a tapered multimode fiber (TMMF) has been developed to measure liquid analyte refractive index (RI) in this work. By the lateral and axial offset of input light into TMMF, several high-order modes are excited in TMMF, and the speckle pattern is spatially modulated, which affects an asymmetrical speckle pattern with a random intensity distribution at the output of TMMF. When the TMMF is immersed in the liquid analyte with RI variation, it influences the guided modes, as well as the mode interference, in TMMF. A digital image correlations method with zero-mean normalized cross-correlation coefficient is explored to digitize the speckle image differences, analyzing the RI variation. It is found that the lateral- and axial-offsets-induced speckle sensor can enhance the RI sensitivity from 6.41 to 19.52 RIU⁻¹ compared to the one without offset. The developed TMMF speckle sensor shows an RI resolution of 5.84 × 10⁻⁵ over a linear response range of 1.3164 to 1.3588 at 1550 nm. The experimental results indicate the FSS provides a simple, efficient, and economic approach to RI sensing, which exhibits an enormous potential in the image-based ocean-sensing application. Full article

(This article belongs to the Special Issue Research Progress and Applications of Distributed Optical Fiber Sensing)

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Open AccessArticle

Damage Analysis of Segmental Dry Joint Full-Scale Prestressed Cap Beam Based on Distributed Optical Fiber Sensing

and

Sensors 2023, 23(7), 3781; https://doi.org/10.3390/s23073781 - 06 Apr 2023

Viewed by 881

Abstract

Distributed fiber optic sensors (DFOS) can detect structural cracks and structural deformation with high accuracy and wide measurement range. This study monitors the segmental prestressed bent cap, assembled with a large key dry joint, based on optical fiber technology, and it allows the comparison of its damaging process with that of a monolithic cast in place counterpart. The obtained results, comprising cross-section strain distributions, longitudinal strain profiles, neutral axis location, crack pattern, and the damage process, show that the DFOS technology can be successfully used to analyze the complex working stress state of the segmental beam with shear key joints, both in the elastic range and at the ultimate load, and to successfully identify the changing characteristics of the stress state of the segmental capping beam model when elastic beam theory no longer applies. The DFOS data confirm that the shear key joint, as the weak point of the segmental cap beam, results in the high stress concentration area, and the damage rate is higher than that of the cast-in-place beam. The accurate monitoring by the DFOS allows for the realization that the damage occurs at the premature formation of a concentrated compression zone on the upper part of the shear key. Full article

(This article belongs to the Special Issue Research Progress and Applications of Distributed Optical Fiber Sensing)

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Special Issue "Research Progress and Applications of Distributed Optical Fiber Sensing"

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