Topic Editors

Department of Engineering, University of Naples “Parthenope”, 80143 Naples, Italy
Department of Engineering, University of Naples “Parthenope”, 80143 Naples, Italy
Department of Engineering, University of Naples “Parthenope”, 80143 Naples, Italy

Advance and Applications of Fiber Optic Measurement: 2nd Edition

Abstract submission deadline
31 August 2024
Manuscript submission deadline
30 November 2024
Viewed by
3320

Topic Information

Dear Colleagues,

Optical fibers and fiber sensors have attracted wide interest in countless domains, including but not limited to aerospace, food processing, high-energy physics experiments, environmental monitoring, medicine, nuclear industry, oil and gas, railways, and structural health monitoring. Here, fiber optic sensors bring several advantages, such as high sensitivity and resolution measurements, low-cost implementation, small size and low weight, immunity to electromagnetic interference, chemical inertness, long-distance monitoring, and high multiplexing capability. This topic will focus on the latest developments and trends in fiber optic sensor-based measurement, covering recent improvements in related theory, design, fabrication, and application/validation. We warmly invite you to participate by submitting original research papers, communications, and review articles in order to provide useful insights into the present status and future outlooks in this area.

Dr. Flavio Esposito
Prof. Dr. Stefania Campopiano
Prof. Dr. Agostino Iadicicco
Topic Editors

Keywords

  • fiber optic sensors and components
  • interferometric sensors
  • resonance-based sensors
  • plasmonic sensors
  • fluorescence
  • physical sensors
  • mechanical sensors
  • chemical sensors and biosensors
  • optoelectronic sensors
  • specialty optical fibers and microstructures
  • nanostructured materials and coatings
  • fiber sensor packaging
  • fiber sensor interrogation and instrumentation

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Automation
automation
- - 2020 26.3 Days CHF 1000 Submit
Biosensors
biosensors
5.4 4.9 2011 17.4 Days CHF 2700 Submit
Fibers
fibers
3.9 7.0 2013 24.1 Days CHF 2000 Submit
Photonics
photonics
2.4 2.3 2014 15.5 Days CHF 2400 Submit
Sensors
sensors
3.9 6.8 2001 17 Days CHF 2600 Submit

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Published Papers (4 papers)

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12 pages, 15090 KiB  
Article
Plastic Optical Fiber Spectral Filter Based on In-Line Holes
by Azael Mora-Nuñez, Héctor Santiago-Hernández, Beethoven Bravo-Medina, Anuar Beltran-Gonzalez, Jesús Flores-Payán, José Luis de la Cruz-González and Olivier Pottiez
Photonics 2024, 11(4), 306; https://doi.org/10.3390/photonics11040306 - 27 Mar 2024
Viewed by 484
Abstract
We propose a spectral filter based on a plastic optical fiber with micro-holes as a low-cost, robust, and highly reproducible spectral filter. The spectral filter is explored for two configurations: a fiber extended in a straight line and a fiber optic loop mirror [...] Read more.
We propose a spectral filter based on a plastic optical fiber with micro-holes as a low-cost, robust, and highly reproducible spectral filter. The spectral filter is explored for two configurations: a fiber extended in a straight line and a fiber optic loop mirror scheme configuration. The transmission traces indicate a spectral blue shift in peak transmission, at 587 nm, 567 nm, 556 nm, and 536 nm for zero, one, two, and three holes in the fiber, respectively. The filter exhibits a bandpass period of approximately 120 nm. Additionally, we conduct a comparison of the transmission with holes separated by distances of 1 cm and 500 μm. The results demonstrate that the distance between holes does not alter the spectral transmission of the filter. In the case of the fiber loop mirror configuration, we observe that the bandpass can be adjusted, suggesting the presence of multimode interference. Exploring variations in the refractive index within the holes by filling them with glucose solutions at various concentrations, we determine that the filtering band and spectral shape remain unaltered, ensuring the stable and robust operation of our spectral filter. Full article
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13 pages, 7532 KiB  
Article
A Concise and Adaptive Sidelobe Suppression Algorithm Based on LMS Filter for Pulse-Compressed Signal of Φ-OTDR
by Wei Shen, Xiaofeng Chen, Yong Zhang, Xin Hu, Jian Wu, Lijun Liu, Chuanlu Deng, Chengyong Hu and Yi Huang
Photonics 2024, 11(1), 70; https://doi.org/10.3390/photonics11010070 - 08 Jan 2024
Viewed by 865
Abstract
A concise and adaptive sidelobe suppression algorithm based on a least mean square (LMS) filter is proposed for pulse-compressed signals of a phase-sensitive optical time-domain reflectometer (Φ-OTDR) system. The algorithm is suitable for the denoising filtering process of phase coding OTDR (PC-OTDR) systems [...] Read more.
A concise and adaptive sidelobe suppression algorithm based on a least mean square (LMS) filter is proposed for pulse-compressed signals of a phase-sensitive optical time-domain reflectometer (Φ-OTDR) system. The algorithm is suitable for the denoising filtering process of phase coding OTDR (PC-OTDR) systems and mitigates the sidelobe effect due to matched filtering. In a simulation experiment, Rayleigh backscattering (RBS) signals including phase-coded pulse signals are generated and decoded to verify that the LMS algorithm can eliminate the sidelobes more effectively than the windowing method and the recursive least squares (RLS) method. Then, the PC-OTDR system is set up and combined with the LMS algorithm for positioning experiments. The results show that the peak side lobe ratio (PSLR) of the signals can reach −15.86 dB, which is 4.26 dB lower than the raw pulse compressed signal. Full article
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12 pages, 5456 KiB  
Article
Temperature and Twist Sensor Based on the Sagnac Interferometer with Long-Period Grating in Polarization-Maintaining Fiber
by Qiufang Zhang, Yiwen Zheng, Yixin Zhu, Qianhao Tang, Yongqin Yu and Lihu Wang
Sensors 2024, 24(2), 377; https://doi.org/10.3390/s24020377 - 08 Jan 2024
Cited by 1 | Viewed by 675
Abstract
We utilized a CO2 laser to carve long-period fiber gratings (LPFGs) on polarization-maintaining fibers (PMFs) along the fast and slow axes. Based on the spectra of LPFGs written along two different directions, we found that when LPFG was written along the fast [...] Read more.
We utilized a CO2 laser to carve long-period fiber gratings (LPFGs) on polarization-maintaining fibers (PMFs) along the fast and slow axes. Based on the spectra of LPFGs written along two different directions, we found that when LPFG was written along the fast axis, the spectrum had lower insertion loss and fewer side lobes. We investigated the temperature and twist characteristics of the embedded structure of the LPFG and Sagnac loop and ultimately obtained a temperature sensitivity of −0.295 nm/°C and a twist sensitivity of 0.87 nm/(rad/m) for the LPFG. Compared to the single LPFG, the embedded structure of the LPFG and Sagnac loop demonstrates a significant improvement in temperature and twist sensitivities. Additionally, it also possesses the capability to discern the direction of the twist. The embedded structure displays numerous advantages, including easy fabrication, low cost, good robustness, a wide range, and high sensitivity. These features make it highly suitable for applications in structural health monitoring and other related fields. Full article
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20 pages, 3853 KiB  
Article
Thermal Profiles in Water Injection Wells: Reduction in the Systematic Error of Flow Measurements during the Transient Regime
by German Alberto Echaiz Espinoza, Gabriel Pereira de Oliveira, Verivan Santos Lima, Diego Antonio de Moura Fonseca, Werbet Luiz Almeida da Silva, Carla Wilza Souza de Paula Maitelli, Elmer Rolando Llanos Villarreal and Andrés Ortiz Salazar
Sensors 2023, 23(23), 9465; https://doi.org/10.3390/s23239465 - 28 Nov 2023
Viewed by 541
Abstract
This article presents an analytical solution for calculating the flow rate in water injection wells based on the established thermal profile along the tubing. The intent is to minimize the intrinsic systematic error of classic quasi-static methodologies, which assume that all thermal transience [...] Read more.
This article presents an analytical solution for calculating the flow rate in water injection wells based on the established thermal profile along the tubing. The intent is to minimize the intrinsic systematic error of classic quasi-static methodologies, which assume that all thermal transience on well completion has passed. When these techniques are applied during the initial hours of injection well operation, it can result in errors higher than 20%. To solve this limitation, the first law of thermodynamics was used to define a mathematical model and a thermal profile was established in the injection fluid, captured by using distributed temperature systems (DTSs) installed inside the tubing. The geothermal profile was also established naturally by a thermal source in the earth to determine the thermal gradient. A computational simulation of the injection well was developed to validate the mathematical solution. The simulation intended to generate the fluid’s thermal profile, for which data were not available for the desired time period. As a result, at the cost of greater complexity, the systematic error dropped to values below 1% in the first two hours of well operation, as seen throughout this document. The code was developed in Phyton, version 1.7.0., from Anaconda Navigator. Full article
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