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Advanced Research of Optical Fiber Sensing Technology
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Advanced Research of Optical Fiber Sensing Technology

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

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 9509

Special Issue Editors

Prof. Dr. Guolu Yin

E-Mail Website
Guest Editor
Professor, Key Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China
Interests: optical sensors; distributed fiber sensing technology; optical frequency domain reflectometry; 3D shape sensing technology; signal processing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Biqiang Jiang

E-Mail Website
Guest Editor
Key Laboratory of Light Field Manipulation and Information Acquisition, Ministry of Industry and Information Technology, and Shaanxi Key Laboratory of Optical Information Technology, School of Physical Science and Technology, Northwestern Polytechnical University, Xi’an 710129, China
Interests: fiber optics; micro-nano fiber device; fiber sensing technology; biophotonics
Dr. Guo Nan

E-Mail Website
Guest Editor
Key Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China
Interests: optical sensors; distributed fiber sensing technology; Brillouin optical time domain analysis/reflectometry

Special Issue Information

Dear Colleagues,

The capability of optical fiber sensors (OFS) has been amply revealed in the last few decades. This technology is currently in a rapid development stage and offers a high applied potential in the fields of perimeter security, structural health monitoring, nondestructive evaluation, and so on because of its advantages of high precision, electrical insulation, corrosion resistance, small size, and light weight.

This Special Issue will explore new designs, modem technology, and algorithm to improve the performance of all kinds of optical fiber sensors so as to meet increasingly high-performance demands in the applications. Potential topics of interest include, but are not limited to, the following:

  • Research frontier of distributed optical fiber sensors (DOFS) based on Raman, Rayleigh, or Brillouin scattering;
  • Fiber grating sensors;
  • Fiber interferometer sensor;
  • OFS based on specialty optical fiber ;
  • Novel signal processing methods;
  • Intelligent optical fiber sensing networks;
  • Advanced application of OFS.

Dr. Guolu Yin
Prof. Dr. Biqiang Jiang
Dr. Guo Nan
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.

Published Papers (5 papers)

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Research

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10 pages, 2498 KiB  
Article
Optical Frequency-Domain Reflectometry Based Distributed Temperature Sensing Using Rayleigh Backscattering Enhanced Fiber
by Ziyi Lu, Ting Feng, Fang Li and Xiaotian Steve Yao
Sensors 2023, 23(12), 5748; https://doi.org/10.3390/s23125748 - 20 Jun 2023
Cited by 2 | Viewed by 1392
Abstract
An innovative optical frequency-domain reflectometry (OFDR)-based distributed temperature sensing method is proposed that utilizes a Rayleigh backscattering enhanced fiber (RBEF) as the sensing medium. The RBEF features randomly high backscattering points; the analysis of the fiber position shift of these points before and [...] Read more.
An innovative optical frequency-domain reflectometry (OFDR)-based distributed temperature sensing method is proposed that utilizes a Rayleigh backscattering enhanced fiber (RBEF) as the sensing medium. The RBEF features randomly high backscattering points; the analysis of the fiber position shift of these points before and after the temperature change along the fiber is achieved using the sliding cross-correlation method. The fiber position and temperature variation can be accurately demodulated by calibrating the mathematical relationship between the high backscattering point position along the RBEF and the temperature variation. Experimental results reveal a linear relationship between temperature variation and the total position displacement of high backscattering points. The temperature sensing sensitivity coefficient is 7.814 μm/(m·°C), with an average relative error temperature measurement of −1.12% and positioning error as low as 0.02 m for the temperature-influenced fiber segment. In the proposed demodulation method, the spatial resolution of temperature sensing is determined by the distribution of high backscattering points. The temperature sensing resolution depends on the spatial resolution of the OFDR system and the length of the temperature-influenced fiber. With an OFDR system spatial resolution of 12.5 μm, the temperature sensing resolution reaches 0.418 °C per meter of RBEF under test. Full article
(This article belongs to the Special Issue Advanced Research of Optical Fiber Sensing Technology)
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13 pages, 8679 KiB  
Article
Optical Frequency Domain Reflectometry Based on Multilayer Perceptron
by Guolu Yin, Zhaohao Zhu, Min Liu, Yu Wang, Kaijun Liu, Kuanglu Yu and Tao Zhu
Sensors 2023, 23(6), 3165; https://doi.org/10.3390/s23063165 - 16 Mar 2023
Cited by 4 | Viewed by 1600
Abstract
We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A classification multilayer perceptron was applied to train and grasp the fingerprint features of Rayleigh scattering spectrum in the optical fiber. The training set was constructed by moving the reference spectrum [...] Read more.
We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A classification multilayer perceptron was applied to train and grasp the fingerprint features of Rayleigh scattering spectrum in the optical fiber. The training set was constructed by moving the reference spectrum and adding the supplementary spectrum. Strain measurement was employed to verify the feasibility of the method. Compared with the traditional cross-correlation algorithm, the multilayer perceptron achieves a larger measurement range, better measurement accuracy, and is less time-consuming. To our knowledge, this is the first time that machine learning has been introduced into an optical frequency domain reflectometry system. Such thoughts and results would bring new knowledge and optimization to the optical frequency domain reflectometer system. Full article
(This article belongs to the Special Issue Advanced Research of Optical Fiber Sensing Technology)
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12 pages, 3123 KiB  
Article
Digital Control and Demodulation Algorithm for Compact Open-Loop Fiber-Optic Gyroscope
by Lin Chen, Zhao Huang, Yuzheng Mao, Biqiang Jiang and Jianlin Zhao
Sensors 2023, 23(3), 1473; https://doi.org/10.3390/s23031473 - 28 Jan 2023
Viewed by 2013
Abstract
With the advantages of small size, low cost, and moderate accuracy, an open-loop fiber-optic gyroscope (FOG) has a wide range of applications around control and automation. For the most cost-sensitive applications, a simple and stable digital algorithm with a reduced control-circuit volume and [...] Read more.
With the advantages of small size, low cost, and moderate accuracy, an open-loop fiber-optic gyroscope (FOG) has a wide range of applications around control and automation. For the most cost-sensitive applications, a simple and stable digital algorithm with a reduced control-circuit volume and cost is highly desirable to realize high-precision control of a FOG. In this work, a new algorithm for an open-loop FOG is proposed based on the discrete multi-point demodulation in the sinusoidal modulation period. Utilizing this algorithm, stable control and angular velocity calculation of a gyro are realized with effectively suppressed gyro error. The use of this algorithm greatly reduces the requirements for processing power and simplifies the gyro circuit. Based on this algorithm, a digital FOG with a volume of only 25 × 20 × 40 mm3 achieves a bias instability of less than 0.15°/h, an angle random walk (ARW) of less than 0.015°/√h, a start-up time of less than 1 s, and a 3 dB bandwidth beyond 160 Hz. This low-cost, compact, and high-performance gyro is sufficient to satisfy the requirements of applications in the navigation and control fields such as unmanned driving. Full article
(This article belongs to the Special Issue Advanced Research of Optical Fiber Sensing Technology)
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11 pages, 634 KiB  
Article
Submetric Spatial Resolution ROTDR Temperature Sensor Assisted by Wiener Deconvolution
by Wenhao Zhu, Haoting Wu, Weixuan Chen, Meiting Zhou, Guolu Yin, Nan Guo and Tao Zhu
Sensors 2022, 22(24), 9942; https://doi.org/10.3390/s22249942 - 16 Dec 2022
Cited by 6 | Viewed by 1618
Abstract
A submetric spatial resolution Raman optical time-domain reflectometry (ROTDR) temperature sensor assisted by the Wiener deconvolution postprocessing algorithm has been proposed and experimentally demonstrated. Without modifying the typical configuration of the ROTDR sensor and the adopted pump pulse width, the Wiener demodulation algorithm [...] Read more.
A submetric spatial resolution Raman optical time-domain reflectometry (ROTDR) temperature sensor assisted by the Wiener deconvolution postprocessing algorithm has been proposed and experimentally demonstrated. Without modifying the typical configuration of the ROTDR sensor and the adopted pump pulse width, the Wiener demodulation algorithm is able to recover temperature perturbations of a smaller spatial scale by deconvoluting the acquired Stokes and anti-Stokes signals. Numerical simulations have been conducted to analyze the spatial resolution achieved by the algorithm. Assisted by the algorithm, a typical ROTDR sensor adopting pump pulses of 20 ns width can realize the distributed temperature sensing with a spatial resolution of 0.5 m and temperature accuracy of 1.99 °C over a 2.1-km sensing fiber. Full article
(This article belongs to the Special Issue Advanced Research of Optical Fiber Sensing Technology)
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Review

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40 pages, 30594 KiB  
Review
Hybrid Distributed Optical Fiber Sensor for the Multi-Parameter Measurements
by Xiao Zhou, Feng Wang, Chengyu Yang, Zijing Zhang, Yixin Zhang and Xuping Zhang
Sensors 2023, 23(16), 7116; https://doi.org/10.3390/s23167116 - 11 Aug 2023
Cited by 3 | Viewed by 2103
Abstract
Distributed optical fiber sensors (DOFSs) are a promising technology for their unique advantage of long-distance distributed measurements in industrial applications. In recent years, modern industrial monitoring has called for comprehensive multi-parameter measurements to accurately identify fault events. The hybrid DOFS technology, which combines [...] Read more.
Distributed optical fiber sensors (DOFSs) are a promising technology for their unique advantage of long-distance distributed measurements in industrial applications. In recent years, modern industrial monitoring has called for comprehensive multi-parameter measurements to accurately identify fault events. The hybrid DOFS technology, which combines the Rayleigh, Brillouin, and Raman scattering mechanisms and integrates multiple DOFS systems in a single configuration, has attracted growing attention and has been developed rapidly. Compared to a single DOFS system, the multi-parameter measurements based on hybrid DOFS offer multidimensional valuable information to prevent misjudgments and false alarms. The highly integrated sensing structure enables more efficient and cost-effective monitoring in engineering. This review highlights the latest progress of the hybrid DOFS technology for multi-parameter measurements. The basic principles of the light-scattering-based DOFSs are initially introduced, and then the methods and sensing performances of various techniques are successively described. The challenges and prospects of the hybrid DOFS technology are discussed in the end, aiming to pave the way for a vaster range of applications. Full article
(This article belongs to the Special Issue Advanced Research of Optical Fiber Sensing Technology)
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