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1

Perez-Herrera, R. A., and M. Lopez-Amo. "Fiber optic sensor networks." Optical Fiber Technology 19, no. 6 (December 2013): 689–99. http://dx.doi.org/10.1016/j.yofte.2013.07.014.

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2

Abramov, Vadym. "PROTECTED CABLE INTERFACES OF THE SENSORY NETWORKS OF THINGS INTERNET." Cybersecurity: Education, Science, Technique, no. 5 (2019): 73–82. http://dx.doi.org/10.28925/2663-4023.2019.5.7382.

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The principles of construction and parameters of sensor network interfaces are characterized, which are characterized by a large number of sensors and a considerable distance of information transmission to the central point or server. The majority of sensors on the Internet of Things system have little performance. In this case, the sensor network requires protection against interference and interference. Only cable networks are eligible for this group of sensor networks. Sensor networks are most suitable for cable industrial networks. The analysis and comparison of industrial cable network interfaces shows that the most appropriate requirements are the RS-485 interface and its derivative interfaces. All industrial network cable interfaces are very good at satisfying one requirement and not meeting the other. Passive fiber optic network is the most satisfying. It is convenient to use passive fiber optic (PON) technologies to build such a network. There are currently quite a number of passive fiber splitter technologies that can be used to create a multipoint trunk or ring passive fiber optic network. Networks with fiber-optic encoders, which also have a large number for measuring different physical parameters, are very convenient and efficient. For the exchange of information in these networks, it is convenient to use the 1- wire interface protocol, which is supplemented by the use of frequency signals. Such networks will be lightweight and compact over time on moving objects and in hazardous conditions. The materials of the article are of interest for carrying out the educational process in universities, in particular at the Kyiv University named after B. Grinchenko.
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Wong, Leslie, Ravin Deo, Suranji Rathnayaka, Benjamin Shannon, Chunshun Zhang, Wing Chiu, Jayantha Kodikara, and Hera Widyastuti. "Leak Detection in Water Pipes Using Submersible Optical Optic-Based Pressure Sensor." Sensors 18, no. 12 (November 30, 2018): 4192. http://dx.doi.org/10.3390/s18124192.

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Leakage is undesirable in water distribution networks, as leaky pipes are financially costly both to water utilities and consumers. The ability to detect, locate, and quantify leaks can significantly improve the service delivered. Optical fibre sensors (OFS) have previously demonstrated their capabilities in performing real-time and continuous monitoring of pipe strength leak detection. However, the challenge remains due to the high labour cost and time-consuming process for the installation of optical fibre sensors to existing buried pipelines. The aim of this paper is to evaluate the feasibility of a submersible optical fibre-based pressure sensor that can be deployed without rigid bonding to the pipeline. This paper presents a set of experiments conducted using the proposed sensing strategy for leak detection. The calibrated optical fibre device was used to monitor the internal water pressure in a pipe with simultaneous verification from a pressure gauge. Two different pressure-based leak detection methods were explored. These leak detection methods were based on hydrostatic and pressure transient responses of the optical fibre pressure sensor. Experimental results aided in evaluating the functionality, reliability, and robustness of the submersible optical fibre pressure sensor.
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Perez-Herrera, Rosa Ana, Montserrat Fernandez-Vallejo, and Manuel Lopez-Amo. "Robust fiber-optic sensor networks." Photonic Sensors 2, no. 4 (October 13, 2012): 366–80. http://dx.doi.org/10.1007/s13320-012-0083-2.

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5

de Miguel Soto, Verónica, and Manuel López-Amo. "Truly remote fiber optic sensor networks." Journal of Physics: Photonics 1, no. 4 (September 18, 2019): 042002. http://dx.doi.org/10.1088/2515-7647/ab3f0e.

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6

Yang, Q., and C. Butler. "Sensor signal processing using neural networks for a 3-D fibre-optic position sensor." Sensors and Actuators A: Physical 41, no. 1-3 (April 1994): 102–9. http://dx.doi.org/10.1016/0924-4247(94)80096-0.

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7

Yu, A., and A. S. Siddiqui. "Practical Sagnac interferometer based fibre optic current sensor." IEE Proceedings - Optoelectronics 141, no. 4 (August 1, 1994): 249–56. http://dx.doi.org/10.1049/ip-opt:19941176.

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8

Dinev, P. "Fibre-optic voltage sensor using an optical lever." IEE Proceedings - Optoelectronics 144, no. 4 (August 1, 1997): 253–55. http://dx.doi.org/10.1049/ip-opt:19971115.

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9

López-Amo, Manuel, and Silvia Abad. "Amplified Fiber-Optic Networks for Sensor Multiplexing." Japanese Journal of Applied Physics 45, no. 8B (August 22, 2006): 6626–31. http://dx.doi.org/10.1143/jjap.45.6626.

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10

Xu, Cheng, and Zahra Sharif Khodaei. "A Novel Fabry-Pérot Optical Sensor for Guided Wave Signal Acquisition." Sensors 20, no. 6 (March 19, 2020): 1728. http://dx.doi.org/10.3390/s20061728.

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In this paper, a novel hybrid damage detection system is proposed, which utilizes piezoelectric actuators for guided wave excitation and a new fibre optic (FO) sensor based on Fabry-Perot (FP) and Fiber Bragg Grating (FBG). By replacing the FBG sensors with FBG-based FP sensors in the hybrid damage detection system, a higher strain resolution is achieved, which results in higher damage sensitivity and higher reliability in diagnosis. To develop the novel sensor, optimum parameters such as reflectivity, a wavelength spectrum, and a sensor length were chosen carefully through an analytical model of the sensor, which has been validated with experiments. The sensitivity of the new FBG-based FP sensors was compared to FBG sensors to emphasize the superiority of the new sensors in measuring micro-strains. Lastly, the new FBG-based FP sensor was utilized for recording guided waves in a hybrid setup and compared to the conventional FBG hybrid sensor network to demonstrate their improved performance for a structural health monitoring (SHM) application.
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11

Alwis, Lourdes S. M., Kort Bremer, and Bernhard Roth. "Fiber Optic Sensors Embedded in Textile-Reinforced Concrete for Smart Structural Health Monitoring: A Review." Sensors 21, no. 15 (July 21, 2021): 4948. http://dx.doi.org/10.3390/s21154948.

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The last decade has seen rapid developments in the areas of carbon fiber technology, additive manufacturing technology, sensor engineering, i.e., wearables, and new structural reinforcement techniques. These developments, although from different areas, have collectively paved way for concrete structures with non-corrosive reinforcement and in-built sensors. Therefore, the purpose of this effort is to bridge the gap between civil engineering and sensor engineering communities through an overview on the up-to-date technological advances in both sectors, with a special focus on textile reinforced concrete embedded with fiber optic sensors. The introduction section highlights the importance of reducing the carbon footprint resulting from the building industry and how this could be effectively achieved by the use of state-of-the-art reinforcement techniques. Added to these benefits would be the implementations on infrastructure monitoring for the safe operation of structures through their entire lifespan by utilizing sensors, specifically, fiber optic sensors. The paper presents an extensive description on fiber optic sensor engineering that enables the incorporation of sensors into the reinforcement mechanism of a structure at its manufacturing stage, enabling effective monitoring and a wider range of capabilities when compared to conventional means of structural health monitoring. In future, these developments, when combined with artificial intelligence concepts, will lead to distributed sensor networks for smart monitoring applications, particularly enabling such distributed networks to be implemented/embedded at their manufacturing stage.
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12

Zugger, M. E., and R. E. Hoffman. "Fiber Optics for Shipboard Sensing and Information Transfer." Marine Technology and SNAME News 27, no. 06 (November 1, 1990): 361–77. http://dx.doi.org/10.5957/mt1.1990.27.6.361.

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Fiber optics has been a rapidly growing field over the past decade. It has been utilized extensively by the telecommunications industry, an application which requires the transmission of large amounts of information at a high data rate. More recently, many firms have initiated development of fiber optic sensors. These are transducers that use purely fiber optic technology for sensing physical parameters, such as pressure, temperature, and strain. Trends and projections for ships of the future indicate that dramatically increased monitoring and computer control will be necessary for most ship systems. Not only will automation be used for meeting reduced manning requirements, other economic constraints will require extensive machinery monitoring for improved maintenance scheduling. Integrated navigation systems on commercial ships will require high-resolution displays, and rapid data transfer between satellite, radar, and bottom-sounding sonar navigation subsystems. These applications will require fiber optics both in data transfer networks and in sensors. This paper is intended to apprise the marine engineering community of the potential benefits which fiber optic networks and sensors bring to shipboard installations. A brief tutorial on fiber optics is given, including a discussion of space, weight, and data rate advantages; the various fundamental sensing techniques are explained, and examples of prototype and commercially available sensors for potential shipboard use are provided. The report concludes with an example of a commercial ship application, and an assessment of the action needed by the ship design community and sensor vendors to reap the performance, safety, and economic benefits of this technology.
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13

Al-Raweshidy, H. S., and D. J. Edwards. "Hybrid optical spectral and time division multiplexing for passive interferometric fibre optic sensor networks." Optics Communications 95, no. 4-6 (January 1993): 239–45. http://dx.doi.org/10.1016/0030-4018(93)90670-z.

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14

Wang, Chuji, Malik Kaya, Peeyush Sahay, Haifa Alali, and Robert Reese. "Fiber Optic Sensors and Sensor Networks Using a Time-domain Sensing Scheme." Optics and Photonics Journal 03, no. 02 (2013): 236–39. http://dx.doi.org/10.4236/opj.2013.32b055.

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15

Pang, C., M. Yu, X. M. Zhang, A. K. Gupta, and K. M. Bryden. "Multifunctional optical MEMS sensor platform with heterogeneous fiber optic Fabry–Pérot sensors for wireless sensor networks." Sensors and Actuators A: Physical 188 (December 2012): 471–80. http://dx.doi.org/10.1016/j.sna.2012.03.016.

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16

Bløtekjaer, K. "Theoretical concepts of a novel Vernier-based fringe-counting fibre optic sensor." IEE Proceedings - Optoelectronics 144, no. 3 (1997): 126. http://dx.doi.org/10.1049/ip-opt:19971270.

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17

Aisawa, Shigeki, Kazuhiro Noguchi, and Takao Matsumoto. "Fiber optic pattern recognition sensor using neural network." Electronics and Communications in Japan (Part II: Electronics) 74, no. 8 (1991): 99–108. http://dx.doi.org/10.1002/ecjb.4420740812.

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18

Ding, Shuo, and Xiao Heng Chang. "Application of Improved BP Neural Networks Based on LM Algorithm in Characteristic Curve Fitting of Fiber-Optic Micro-Bend Sensor." Advanced Materials Research 889-890 (February 2014): 825–28. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.825.

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As a key factor in a testing system, sensor nonlinearity has always been the study focus in the field of engineering and techniques. In order to accurately reflect the practical characteristics of a fiber-optic micro-bend sensor, Levenberg-Marguardt (LM) algorithm is used to optimize the correction of the weight values of standard back propagation neural network (BPNN). The learning process of improved BPNN based on LM algorithm (LM-BPNN) is also illustrated mathematically, and LM-BPNN is applied in fitting the input and output characteristic curve of a fiber-optic micro-bend sensor. The simulation results show that LM-BPNN is superior both in its convergence rate and fitting precision over standard BPNN.
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19

Wu, Hua Yong, Daniele Zonta, Matteo Pozzi, Paolo Zanon, and Michele Corrà. "Historic Buildings: Long Term Stability Evaluation Using Wireless Sensor Networks." Advanced Materials Research 133-134 (October 2010): 235–40. http://dx.doi.org/10.4028/www.scientific.net/amr.133-134.235.

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An automatic diagnostic monitoring system can guarantee the safety and integrity of a historic building. In this paper, we describe the long term application of a wireless sensor network (WSN) for permanent health monitoring in the Torre Aquila, a historic tower in Trento, Italy. The system consists of accelerometers, thermometers and fiber optic sensors (FOS) with customized wireless modules and dedicated software designed for wireless communication. The whole system was completed and started operation in September 2008, and data from the various sensor nodes are collected continuously, save during periods of system maintenance and update. Based on the first 1.5 years of operation in assessing the stability of the tower, the WSN is seen to be an effective tool. Modal analysis indicates that the tower has two independent structural parts. A comparison between the acquired long term deformation measurements and simulated numerical results shows good agreement. Monitoring of ambient vibration suggests that such vibration is not now a source of concern for the stability of the tower.
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20

Uttamchandani, D. "Fibre-optic sensors and smart structures: developments and prospects." Electronics & Communication Engineering Journal 6, no. 5 (October 1, 1994): 237–46. http://dx.doi.org/10.1049/ecej:19940506.

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21

De En, Changsheng Zhou, and Xiaolong Shi. "Research of Optic-Fiber Pressure Sensor Based On MOEMS." International Journal of Digital Content Technology and its Applications 7, no. 7 (April 15, 2013): 627–34. http://dx.doi.org/10.4156/jdcta.vol7.issue7.74.

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22

Soga, Kenichi, and Jennifer Schooling. "Infrastructure sensing." Interface Focus 6, no. 4 (August 6, 2016): 20160023. http://dx.doi.org/10.1098/rsfs.2016.0023.

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Design, construction, maintenance and upgrading of civil engineering infrastructure requires fresh thinking to minimize use of materials, energy and labour. This can only be achieved by understanding the performance of the infrastructure, both during its construction and throughout its design life, through innovative monitoring. Advances in sensor systems offer intriguing possibilities to radically alter methods of condition assessment and monitoring of infrastructure. In this paper, it is hypothesized that the future of infrastructure relies on smarter information; the rich information obtained from embedded sensors within infrastructure will act as a catalyst for new design, construction, operation and maintenance processes for integrated infrastructure systems linked directly with user behaviour patterns. Some examples of emerging sensor technologies for infrastructure sensing are given. They include distributed fibre-optics sensors, computer vision, wireless sensor networks, low-power micro-electromechanical systems, energy harvesting and citizens as sensors.
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23

Hartog, Arthur H., Mohammad Belal, and Michael A. Clare. "Advances in Distributed Fiber-Optic Sensing for Monitoring Marine Infrastructure, Measuring the Deep Ocean, and Quantifying the Risks Posed by Seafloor Hazards." Marine Technology Society Journal 52, no. 5 (September 1, 2018): 58–73. http://dx.doi.org/10.4031/mtsj.52.5.7.

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AbstractDistributed optical fiber sensors provide new opportunities for monitoring the marine environment. We review the physical foundations of this sensor technology and discuss how it can be applied to radically augment the networks of subsea sensors that help monitor fundamental marine processes and to complete our understanding of local, regional, and global interactions in this environment.
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24

Abesser, Corinna, Francesco Ciocca, John Findlay, David Hannah, Philip Blaen, Athena Chalari, Michael Mondanos, and Stefan Krause. "A distributed heat pulse sensor network for thermo-hydraulic monitoring of the soil subsurface." Quarterly Journal of Engineering Geology and Hydrogeology 53, no. 3 (March 17, 2020): 352–65. http://dx.doi.org/10.1144/qjegh2018-147.

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Fibre optic distributed temperature sensing (DTS) is used increasingly for environmental monitoring and subsurface characterization. Combined with heating of metal elements embedded within the fibre optic cable, the temperature response of the soil provides valuable information from which soil parameters such as thermal conductivity and soil moisture can be derived at high spatial and temporal resolution, and over long distances.We present a novel active distributed temperature sensing (A-DTS) system and its application to characterize spatial and temporal dynamics in soil thermal conductivity along a recently forested hillslope in Central England, UK. Compared with conventional techniques (needle probe surveys), A-DTS provided values with a similar spread although lower on average. The larger number of measurement points that A-DTS provides at higher spatial and temporal resolutions and the ability to repeat surveys under different meteorological or hydrological conditions allow for a more detailed examination of the spatial and temporal variability of thermal conductivities at the study site. Although system deployment time and costs are higher than with needle probes, A-DTS can be extremely appealing for applications requiring long-term monitoring, at high temporal repeatability, over long (kilometres) distances and with minimum soil disturbance, compared with one-off spatial surveys.Thematic collection: This article is part of the Measurement and monitoring collection available at: https://www.lyellcollection.org/cc/measurement-and-monitoring
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25

Rao, Y. J., X. J. Wang, T. Zhu, and C. X. Zhou. "Demodulation algorithm for spatial-frequency-division-multiplexed fiber-optic Fizeau strain sensor networks." Optics Letters 31, no. 6 (March 15, 2006): 700. http://dx.doi.org/10.1364/ol.31.000700.

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26

Kim, Yong-Yook, Rakesh K. Kapania, Eric R. Johnson, Matthew F. Palmer, Tae-Kyu Kwon, Chul-Un Hong, and Nam-Gyun Kim. "Dynamic analysis and structural optimization of a fiber optic sensor using neural networks." Journal of Mechanical Science and Technology 20, no. 2 (February 2006): 251–61. http://dx.doi.org/10.1007/bf02915827.

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27

Fusiek, Grzegorz, and Pawel Niewczas. "Photonic Voltage Transducer with Lightning Impulse Protection for Distributed Monitoring of MV Networks." Sensors 20, no. 17 (August 26, 2020): 4830. http://dx.doi.org/10.3390/s20174830.

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The design, construction and characterization of a photonic voltage transducer with a lightning impulse protection for distributed measurements on medium voltage (MV) networks (11 kV) was presented in this paper. The sensor prototype, comprising a combination of a piezoelectric transducer and a fibre Bragg grating (FBG) as a core optical sensing element, and a dedicated lightning protection device comprising a set of reactive components, was evaluated through laboratory testing and its performance was assessed based on the accuracy requirements specified by the relevant industry standards. It was demonstrated that the sensor has the potential to meet the accuracy requirements for the 3P protection and 0.2 metering classes specified by the IEC 60044-7. The device successfully underwent lightning impulse withstand tests, satisfying the safety requirements applicable to 11 kV networks as specified by the standard. The usage of an FBG as a photonic sensing component enables the multiplexing of multiple such sensors to provide the distributed measurement of voltage along a power network.
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28

Jin, W., M. S. Demokan, B. Culshaw, W. Philp, and G. Stewart. "Performance limit of fibre-optic gas sensors from coherent backscatter." IEE Proceedings - Optoelectronics 145, no. 3 (June 1, 1998): 186–90. http://dx.doi.org/10.1049/ip-opt:19981892.

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29

Huang, Ying. "Hybrid Fibre Optic Sensor Network for Real-time High Temperature Performance Monitoring of Steel Structures." American Journal of Civil Engineering 1, no. 1 (2013): 16. http://dx.doi.org/10.11648/j.ajce.20130101.13.

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30

Haiyan Xu, Ruiyu Liang, Zhuo Zhang, and Xuewu Zhang. "Research of Distributed Fiber-optic Sensor Partial Discharge Detection in Power Cable." International Journal of Digital Content Technology and its Applications 7, no. 6 (March 31, 2013): 750–57. http://dx.doi.org/10.4156/jdcta.vol7.issue6.84.

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31

Arief, Hasan Asy’ari, Tomasz Wiktorski, and Peter James Thomas. "A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation." Sensors 21, no. 8 (April 15, 2021): 2801. http://dx.doi.org/10.3390/s21082801.

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Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the potential to play a major role in industrial flow measurement applications. One such application is the optimization of hydrocarbon production to maximize short-term income, and prolong the operational lifetime of production wells and the reservoir. While the measurement technology itself is well understood and developed, a key remaining challenge is the establishment of robust data analysis tools that are capable of providing real-time conversion of enormous data quantities into actionable process indicators. This paper provides a comprehensive technical review of the data analysis techniques for distributed fibre optic technologies, with a particular focus on characterizing fluid flow in pipes. The review encompasses classical methods, such as the speed of sound estimation and Joule-Thomson coefficient, as well as their data-driven machine learning counterparts, such as Convolutional Neural Network (CNN), Support Vector Machine (SVM), and Ensemble Kalman Filter (EnKF) algorithms. The study aims to help end-users establish reliable, robust, and accurate solutions that can be deployed in a timely and effective way, and pave the wave for future developments in the field.
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32

Li, D. S., L. Ren, H. N. Li, and G. B. Song. "Structural Health Monitoring of a Tall Building during Construction with Fiber Bragg Grating Sensors." International Journal of Distributed Sensor Networks 8, no. 10 (October 1, 2012): 272190. http://dx.doi.org/10.1155/2012/272190.

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Fiber Bragg grating sensors demonstrate a great potential as a structural health monitoring tool for civil structures to ensure structural integrity, durability, and reliability. The advantages of applying fiber optic sensors to a tall building include their immunity to electromagnetic interference and their multiplexing ability to transfer optical signals over a long distance. In the work, fiber Bragg grating sensors, consisting of strain and temperature sensors, are applied to structural monitoring of an 18-floor tall building since the date of its construction. The strain transferring rate from host material to the fiber core is discussed and the calibration of packaged fiber Bragg grating sensor is presented. The main purposes of the investigation are monitoring temperature evolution history within concrete during the pouring and curing process, measuring variation of the main column strains on the underground floor while upper 18 floors were subsequently added on, and monitoring relative displacement between two foundation blocks. Fiber Bragg grating sensors have been installed and integrated continuously for more than five months. Monitoring results of temperature and strain are presented in the paper. Furthermore, temperature lag behavior between concrete and its surrounding air is investigated.
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33

Misbakhov, Rin Sh, A. N. Vasev, A. Zh Sakhabutdinov, I. I. Nureev, O. G. Morozov, K. A. Lipatnikov, and A. A. Vasilets. "Address Fiber Optical Sensor for Relative Humidity Measuring in a Switchgear." Radio Engineering, no. 1 (March 5, 2020): 1–16. http://dx.doi.org/10.36027/rdeng.0120.0000157.

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A number of governing documents and by-laws of the Russian Federation, branch ministries, departments and companies have introduced the use of measuring relative air humidity, elements insulation, and SF6 into operation and maintenance process of complete switchgear. A wide range of high-precision laboratory instruments has been developed to implement these measurements. However, as a rule, these are scheduled measurements to be carried out once or twice a quarter, although the constant on-line monitoring of humidity is concerned in both the production and scientific circles of the energy industry. The possibility of on-line monitoring appeared with the advent of fiber-optic object-based passive networks for collecting information and the possibility of forming interrogation channels in them, which is provided for by the development of the Smart Grid Plus concept. Fiber optic sensors, single in their physical layer structure with passive optical networks, are highly robust and resistant to high electromagnetic fields, typical of those generated in a switchgear, and are designed to operate in harsh environments. Among their broad class, fiber optic sensors on Bragg gratings, which differ from others by direct measurement methods, have significant advantages. In particular, an increase or decrease in relative humidity will lead to a corresponding change in the wavelength of the sensing source reflected from the grating, which can be measured with an accuracy of sixth place from its absolute value.This paper proposes to consider a two-element sensor of relative humidity of a parallel structure, which differs from the existing ones by using address fiber Bragg gratings made in SMF-28 fiber. One of the gratings has a polyimide-replaced quartz shell, synthesized using a reductant fiber coating, and a completely multiplicative response to temperature and deformation caused by humidity. The second grating is recorded in a standard fiber and responds only to temperature. It is possible to include an additional third grating with a partially etched cladding, which can be used for refract metric measurements of the amount of condensed moisture on the elements of a complete switchgear. All the gratings are identical, have, as a rule, the same Bragg wavelength after manipulating their claddings, but they have differing unique addresses, which are formed by recording two transparency windows in each of the gratings with different difference frequency space. The transparency windows correspond to phase p-shifts symmetrically located at the same distance from the center of each grating. The structure obtained makes it possible to record information of the measurement conversion at the said difference frequencies in the radio range, which significantly increases the speed of relative humidity measurements and their accuracy by an order of magnitude more. In addition to what has been said, it is possible to note the capability for building a network of these sensors in series arranged in switchgear devices, with a different radiofrequency address group being used in each of them.
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34

Xu, Jinlong, Liam J. Butler, and Mohammed ZEB Elshafie. "Experimental and numerical investigation of the performance of self-sensing concrete sleepers." Structural Health Monitoring 19, no. 1 (March 15, 2019): 66–85. http://dx.doi.org/10.1177/1475921719834506.

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Prestressed concrete sleepers with built-in fibre optic–based sensing systems have recently been developed to capture performance data within railway networks and to provide critical decision-support information to route managers and operators. To better understand how self-sensing sleepers can be fully utilized within the rail network, a study of their comprehensive performance under controlled conditions must be undertaken. This article presents the results of the full-scale laboratory testing of a self-sensing sleeper supported on ballast. A primary focus of this study was to investigate whether a self-sensing sleeper could also be used to estimate rail seat load, detect cracking, and identify differential ballast settlement. The ultimate capacity and resilience of the embedded fiber Bragg grating sensing system was tested by applying load up until concrete cracking followed by several cyclic load cycles. Through inference of the load versus strain response, the ability of the self-sensing sleeper to detect damage (concrete cracking and loss of ballast support) was evaluated. The experimental results revealed the effectiveness and robustness of the embedded sensing system to continue to provide reliable dynamic strain measurements well beyond the ultimate loading capacity of the prestressed sleeper. Cracking of the top surface of the sleeper was effectively detected by the fiber Bragg grating strain sensors at the mid-span section. After cracking, subsequent load cycles were carried out. During this period, the bottom fiber Bragg grating measurements captured the effects of differential ballast settlement under the rail seats. A three-dimensional nonlinear finite element model was developed to simulate the experimental test setup and to investigate the relation between fiber Bragg grating sensor measurements and rail track response. The combined experimental and numerical results suggest that a self-sensing sleeper may be deployed on an operational railway to provide reliable and long-term measurements of rail axle load and ballast pressure.
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35

Bravo, M., M. A. Erro, J. M. Algueta, S. Diaz, and M. Lopez-Amo. "Remote fiber optic switch powered by light for robust interrogation of fiber Bragg grating sensor networks." Measurement Science and Technology 24, no. 9 (July 24, 2013): 094021. http://dx.doi.org/10.1088/0957-0233/24/9/094021.

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36

Peng He, Zhen Zhou, and Yong Qin. "Fiber Optic Sensor Technology for Measuring Soybean Milk Concentration in Tofu Making." Journal of Convergence Information Technology 8, no. 2 (January 31, 2013): 580–86. http://dx.doi.org/10.4156/jcit.vol8.issue2.70.

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37

Deng, Shiyu, Richard Haindl, Edward Zhang, Paul Beard, Eva Scheuringer, Caterina Sturtzel, Qian Li, et al. "An optical coherence photoacoustic microscopy system using a fiber optic sensor." APL Photonics 6, no. 9 (September 1, 2021): 096103. http://dx.doi.org/10.1063/5.0059351.

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38

Gong, Fang. "Design of a New Type of Optical Fiber Infrasound Sensor and Its Usage in Karst Geological Exploration." Journal of Nanoelectronics and Optoelectronics 15, no. 7 (July 1, 2020): 926–34. http://dx.doi.org/10.1166/jno.2020.2852.

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In this study, the demand of optical fiber (OF) sonic sensor is analyzed, and a composite OF infrasound sensor is proposed aiming at the detection demand of low-frequency infrasound waves in specific occasions. With this sensor, the polymer thin film and the aluminum soil can be combined to form a kind of composite film, the ECF/P interferometer can be formed between the end faces of the ferrule of the OF FC contact, the sensor head of the OF ECF/P infrasound sensor system is fabricated and then packaged. The designed OF infrasound sensor is used in the construction of a wireless sensor network (WSN) for karst geological exploration. The structure of the WSN includes the SimpliciTI communication network protocol, ADF7021 RF transceiver chip, STM32 processor chip, etc. New types of environment from karst can be sampled with this WSN. During the test, the performance of the composite OF infrasound sensor is analyzed at the beginning. The acoustic sensitivity of up to –136.73 dB re 1 V/μPa can be obtained in the low frequency infrasound range (1–20 Hz); the WSN based on the composite OF infrasound sensor has lower power consumption and faster networking speed. In addition, it can realize signal cover in karst areas without public mobile cellular networks, and send the information collected by the sensor to the data center, thus proving the fiber optic sound wave sensor designed in this study is successful and helpful for the geological prospectors to monitor the environment.
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39

Shih, S. T., M. H. Chen, and W. W. Lin. "Analysis of fibre optic Michelson interferometric sensor distortion caused by the imperfect properties of its 3 × 3 coupler." IEE Proceedings - Optoelectronics 144, no. 6 (December 1, 1997): 377–82. http://dx.doi.org/10.1049/ip-opt:19971344.

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40

KOYAMADA, Y. "Novel Fiber-Optic Distributed Strain and Temperature Sensor with Very High Resolution." IEICE Transactions on Communications E89-B, no. 5 (May 1, 2006): 1722–25. http://dx.doi.org/10.1093/ietcom/e89-b.5.1722.

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41

Besley, J. A., G. B. Scelsi, and J. D. Love. "Local supermode analysis of tapered fibre sensor." IEE Proceedings - Optoelectronics 144, no. 6 (December 1, 1997): 383–88. http://dx.doi.org/10.1049/ip-opt:19971609.

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42

Pullteap, Saroj, and Piyawat Samartkit. "A High Sensitivity of Vital Signs Detector using Fiber Optic-based Fabry-Perot Interferometer." ECTI Transactions on Electrical Engineering, Electronics, and Communications 18, no. 2 (August 31, 2020): 98–106. http://dx.doi.org/10.37936/ecti-eec.2020182.218271.

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In this paper, a development of high sensitivity for vital sign detector based on the fiber optic-based Fabry-Perot interferometer (FFPI) has been proposed. Two interested parameters; heart rate (HR), and also blood pressure (BP) are measured as the vital sign parameters for investigating the performance of the FFPI. Particularly, the proposed sensor is exploited to detect human arterial pulse for indicating the number of interference signals (fringes). A fringe counting technique is, consequently, applied in associate with the deflection of material technique to demodulate the observed number of fringes into HR and BP. Additionally, the reflective thin film with reflectance of approximately 55% is utilized for attaching to the human wrist during the measurement. Furthermore, a digital sphygmomanometer model OMRON HEM-7130 is employed as a reference sensor. After 20 times of repeatability on the same human subject, the FFPI could indicate the systolic and diastolic BP, as well as HR, with average error of 0.94%, 1.64%, and 1.01%, respectively. Moreover, the FFPI could determine the mentioned parameters in decimal numbers, as opposed to the reference sensor. This could, thus, verified that the FFPI is a very sensitive and more precise instrument for applying to the vital sign measurement.
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43

Ma, Hui Ping, Yu Bo Guo, Yuan Qiang Jin, and Feng Yuan. "Research for Biofouling Detection Based on Optical Fiber Self-Referencing Technique and ANN." Advanced Materials Research 605-607 (December 2012): 1965–71. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1965.

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More attention is paid to on-line monitoring of biofouling in industrial water process systems. Combined optical fiber self-referencing technology with artificial neural networks (ANN) technology, real time detection technique for forming thickness and ingredient is put forward, which provides technical support and reliable data for analyzing biofouling influencing factors, contaminant separation and warning. Unclad fiber sensing mechanism and self-referencing fiber optic sensor are presented. Compensation technology based on radial basis function (RBF) neural network and learning algorithm are studied in order to solve the problem of measurement precision and range. Biofouling forming and optical characteristics in industrial real water systems are researched. A new method is provided for the research on biofouling in real water system, which can be used in other fields such as mining, environment protection, medical treatment and transportation of oil, gas and water.
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44

Zhang, K., C. Butler, Q. Yang, and Y. Lu. "A fiber optic sensor for the measurement of surface roughness and displacement using artificial neural networks." IEEE Transactions on Instrumentation and Measurement 46, no. 4 (1997): 899–902. http://dx.doi.org/10.1109/19.650796.

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45

Xu, Dong-Sheng, Long-Jun Dong, Lalit Borana, and Hua-Bei Liu. "Early-Warning System With Quasi-Distributed Fiber Optic Sensor Networks and Cloud Computing for Soil Slopes." IEEE Access 5 (2017): 25437–44. http://dx.doi.org/10.1109/access.2017.2771494.

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46

Han, Yan. "The Building of Optical Fiber Network System Using Hetero-Core Fiber Optic Sensors." Advanced Materials Research 571 (September 2012): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.571.342.

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We proposed a novel optical sensory nerve network using pulse switch sensors. The pulse switch sensor generates light loss similar to pulse signals only when ON/OFF states change. Therefore, it has less influence on communications quality compared with conventional switch sensor modules as sensor multiplicity increases. Our simulated results demonstrated that the proposed system can improve sensor multiplicity while maintaining the communications and measuring performance with the same quality as a conventional system by appropriately adjusting the initial loss of the pulse switch sensors. In particular, where ON/OFF time intervals follow exponential distributions with mean values of 5 and 300 s, respectively, the insertion loss of hetero-core segments inserted into pulse switch sensors is 0.3 dB, and the pulse switch sensors have curvature from 0.05 to 0.18. Under these conditions, our enhanced system can increase sensor multiplicity to 23 while maintaining link availability of almost 100%, a distinction error ratio of less than 1%, and a duplicated error ratio of about 0.5%.
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47

Butt, Muhammad Ali, and Nikolai Lvovich Kazansky. "SOI Suspended membrane waveguide at 3.39 µm for gas sensing application." Photonics Letters of Poland 12, no. 2 (July 1, 2020): 67. http://dx.doi.org/10.4302/plp.v12i2.1034.

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In this letter, we present a numerical study on the designing of silicon-on-insulator (SOI) suspended membrane waveguide (SMW). The waveguide geometry is optimized at 3.39 µm TE-polarized light which is the absorption line of methane gas by utilizing a 3D finite element method (FEM). The transmission loss (TL) and evanescent field ratio (EFR) of the waveguide are calculated for different geometric parameters such as the width of core, the height of core and period of the cladding. We found out that TL is directly related to EFR. Therefore, a waveguide geometry can be designed which can offer high EFR at the cost of high TL or low EFR with low TL, as desired. Based on the geometric parameters used in this paper, we have obtained a TL and EFR which lies in the range of 1.54 dB-3.37 dB and 0.26-0.505, respectively. Full Text: PDF ReferencesL. Vivien et al., "High speed silicon-based optoelectronic devices on 300mm platform", 2014 16th International conference on transparent optical networks (ICTON), Graz, 2014, pp. 1-4, CrossRef Y. Zou, S. Chakravarty, "Mid-infrared silicon photonic waveguides and devices [Invited]", Photonic Research, 6(4), 254-276 (2018). CrossRef J.S. Penades et al., "Suspended SOI waveguide with sub-wavelength grating cladding for mid-infrared", Optics letters, 39(19), 5661-5664 (2014). CrossRef T. Baehr-Jones, A. Spott, R. Ilic, A. Spott, B. Penkov, W. Asher, and M. Hochberg, "Silicon-on-sapphire integrated waveguides for the mid-infrared", Opt. Express, 18(12),12127-12135 (2010). CrossRef J. Mu, R. Soref, L. C. Kimerling, and J. Michel, "Silicon-on-nitride structures for mid-infrared gap-plasmon waveguiding", Appl. Phys. Lett., 104(3), 031115 (2014). CrossRef J.S. Penades et al., "Suspended silicon waveguides for long-wave infrared wavelengths", Optics letters, 43 (4), 795-798 (2018). CrossRef J.S. Penades et al., "Suspended silicon mid-infrared waveguide devices with subwavelength grating metamaterial cladding", Optics Express, 24, (20), 22908-22916 (2016). CrossRef M.A. Butt, S.N. Khonina, N.L. Kazanskiy, "Modelling of Rib channel waveguides based on silicon-on-sapphire at 4.67 μm wavelength for evanescent field gas absorption sensor", Optik, 168, 692-697 (2018). CrossRef S.N. Khonina, N.L. Kazanskiy, M.A. Butt, "Evanescent field ratio enhancement of a modified ridge waveguide structure for methane gas sensing application", IEEE Sensors Journal CrossRef M.A. Butt, S.A. Degtyarev, S.N. Khonina, N.L. Kazanskiy, "An evanescent field absorption gas sensor at mid-IR 3.39 μm wavelength", Journal of Modern Optics, 64(18), 1892-1897 (2017). CrossRef S. Zampolli et al., "Selectivity enhancement of metal oxide gas sensors using a micromachined gas chromatographic column", Sensors and Actuators B Chemical, 105 (2), 400-406 (2005). CrossRef N. Dossi, R. Toniolo, A. Pizzariello, E. Carrilho, E. Piccin, S. Battiston, G. Bontempelli, "An electrochemical gas sensor based on paper supported room temperature ionic liquids", Lab Chip, 12 (1), 153-158 (2011). CrossRef V. Avetisov, O. Bjoroey, J. Wang, P. Geiser, K. G. Paulsen, "Hydrogen Sensor Based on Tunable Diode Laser Absorption Spectroscopy", Sensors, 19 (23), 5313 (2019). CrossRef M.A. Butt, S.N. Khonina, N.L. Kazanskiy, "Silicon on silicon dioxide slot waveguide evanescent field gas absorption sensor", Journal of Modern Optics, 65(2), 174-178 (2018). CrossRef Nikolay Lvovich Kazanskiy, Svetlana Nikolaevna Khonina, Muhammad Ali Butt, "Subwavelength Grating Double Slot Waveguide Racetrack Ring Resonator for Refractive Index Sensing Application", Sensors, 20, 3416 (2020). CrossRef H. Tai, H. Tanaka, T. Yoshino, "Fiber-optic evanescent-wave methane-gas sensor using optical absorption for the 3.392-μm line of a He–Ne laser", Opt. Lett., 12, 437-439 (1987). CrossRef M.A. Butt, S.N. Khonina, N.L. Kazanskiy, "Hybrid plasmonic waveguide-assisted Metal–Insulator–Metal ring resonator for refractive index sensing", Journal of Modern Optics, 65(9), 1135-1140 (2018). CrossRef S.A. Degtyarev, M.A. Butt, S.N. Khonina, R.V. Skidanov, "Modelling of TiO2 based slot waveguides with high optical confinement in sharp bends", 2016 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube, Quetta, 2016, 10-13 CrossRef
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48

Choi, Mijin, Manish Man Shrestha, Jung-Ryul Lee, and Chan-Yik Park. "Development of a laser-powered wireless ultrasonic device for aircraft structural health monitoring." Structural Health Monitoring 17, no. 2 (January 13, 2017): 145–55. http://dx.doi.org/10.1177/1475921716686963.

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In recent years, wireless sensor networks have emerged as a reliable method for structural health monitoring. The powering methods for these wireless sensors have become an important factor. In several applications, wireless sensors must be operated in locations that are difficult or even impossible to access, and these systems often have a desired operational life span that exceeds conventional batteries lifetime. Replacing the batteries is labor intensive and time consuming. It is very difficult or even impossible to replace batteries of embedded sensors in concrete or composite structures. Therefore, novel powering methods such as energy harvesting or wireless power transmission are necessary to guarantee long life spans for wireless sensors. This article presents a laser-powered wireless ultrasonic device, which is a wireless active sensor with wireless laser power transmission that provides long-lasting structural health monitoring. The laser beam is captured by a GaInP photovoltaic cell. The cell has a high spectral responsivity for the 532-nm laser beam. A supercapacitor is used to store and supply power to the device. Furthermore, to solve the line-of-sight issue, a smart component called the fiber optic bolt is also developed using a large-core hard polymer-clad fiber. The wireless ultrasonic device includes the actuator and the sensor interface to evaluate the structural damages. To demonstrate the feasibility of the device, we carried out the basic Lamb wave pitch-catch test to detect the structural damage (such as cracks and artificial corrosion) in an aircraft lug (which is an example of an inaccessible aircraft structure). Our investigations show that the results of the proposed wireless sensing system are in accordance with those of the wired system. This indicates the feasibility for implementing the proposed system for wireless structural health monitoring.
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49

Zhang Yanjun, 张燕君, 刘文哲 Liu Wenzhe, and 付兴虎 Fu Xinghu. "High Precision Identification of Optic Fiber Invasion Sensor Networks Information Based on the BBS and BPNN-DS Algorithm." Acta Optica Sinica 36, no. 1 (2016): 0106001. http://dx.doi.org/10.3788/aos201636.0106001.

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50

Childs, Paul, and Yan-Biao Liao. "On the multiplexed limit capacity of spectrally overlapped continuous wave fibre Bragg grating sensor networks." Journal of Optics 12, no. 1 (November 25, 2009): 015404. http://dx.doi.org/10.1088/2040-8978/12/1/015404.

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