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Investigation of Hybrid Remote Fiber Optic Sensing Solutions for Railway Applications
Fiber optic sensing (FOS) has become a well-known technology in response to the rising demands of the railway transportation field despite the abundance of electronic sensing systems in the market. FOS application boasts an all-in-one solution that is both efficient and versatile. In order to enhanc...
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Published in: | Photonics 2023-08, Vol.10 (8), p.864 |
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description | Fiber optic sensing (FOS) has become a well-known technology in response to the rising demands of the railway transportation field despite the abundance of electronic sensing systems in the market. FOS application boasts an all-in-one solution that is both efficient and versatile. In order to enhance the understanding of the capabilities of FOS, this paper presents a hybrid fiber optic sensing system with an improved sensing ability to facilitate transportation applications for primary or secondary security interfaces. The hybrid sensing scheme incorporates two different sensing systems designed for long-distance applications. The first system employs a coding technique for the transmitted pulses, which provide information on train location through cross-correlation with the reflected pulses from fiber Bragg grating (FBG) sensors located along the railway. The proposed system can accurately predict the train’s location up to a precision of one cm. The second system examines the wavelength drift of the reflected signal from the FBG sensor affected by the train using a tunable optical filter and photodetector. It determines essential parameters such as the train’s location, speed, and direction by measuring the Bragg wavelength shift and its direction. The effect of the train movement and speed on the applied strain on the FBG sensor is calculated in this work and applied to the simulation to determine the train’s location, speed, and direction. A calibration table facilitates the correlation between the train speed and the shift in the FBG center wavelength, which helps ensure accurate results. The hybrid fiber optic sensing system is designed to facilitate railway transportation applications’ sustainability and security. |
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FOS application boasts an all-in-one solution that is both efficient and versatile. In order to enhance the understanding of the capabilities of FOS, this paper presents a hybrid fiber optic sensing system with an improved sensing ability to facilitate transportation applications for primary or secondary security interfaces. The hybrid sensing scheme incorporates two different sensing systems designed for long-distance applications. The first system employs a coding technique for the transmitted pulses, which provide information on train location through cross-correlation with the reflected pulses from fiber Bragg grating (FBG) sensors located along the railway. The proposed system can accurately predict the train’s location up to a precision of one cm. The second system examines the wavelength drift of the reflected signal from the FBG sensor affected by the train using a tunable optical filter and photodetector. It determines essential parameters such as the train’s location, speed, and direction by measuring the Bragg wavelength shift and its direction. The effect of the train movement and speed on the applied strain on the FBG sensor is calculated in this work and applied to the simulation to determine the train’s location, speed, and direction. A calibration table facilitates the correlation between the train speed and the shift in the FBG center wavelength, which helps ensure accurate results. The hybrid fiber optic sensing system is designed to facilitate railway transportation applications’ sustainability and security.</description><identifier>ISSN: 2304-6732</identifier><identifier>EISSN: 2304-6732</identifier><identifier>DOI: 10.3390/photonics10080864</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Bragg gratings ; Cross correlation ; Equipment and supplies ; FBG ; fiber optic sensing (FOS) ; Fiber optics ; Hybrid systems ; Investigations ; Localization ; Mathematical analysis ; Optical filters ; PN-Coding ; Rail transportation ; Railroads ; railway ; Remote sensing ; Security ; Sensors ; Technology application ; transportation ; Transportation applications ; Velocity ; Wavelength</subject><ispartof>Photonics, 2023-08, Vol.10 (8), p.864</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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FOS application boasts an all-in-one solution that is both efficient and versatile. In order to enhance the understanding of the capabilities of FOS, this paper presents a hybrid fiber optic sensing system with an improved sensing ability to facilitate transportation applications for primary or secondary security interfaces. The hybrid sensing scheme incorporates two different sensing systems designed for long-distance applications. The first system employs a coding technique for the transmitted pulses, which provide information on train location through cross-correlation with the reflected pulses from fiber Bragg grating (FBG) sensors located along the railway. The proposed system can accurately predict the train’s location up to a precision of one cm. The second system examines the wavelength drift of the reflected signal from the FBG sensor affected by the train using a tunable optical filter and photodetector. It determines essential parameters such as the train’s location, speed, and direction by measuring the Bragg wavelength shift and its direction. The effect of the train movement and speed on the applied strain on the FBG sensor is calculated in this work and applied to the simulation to determine the train’s location, speed, and direction. A calibration table facilitates the correlation between the train speed and the shift in the FBG center wavelength, which helps ensure accurate results. The hybrid fiber optic sensing system is designed to facilitate railway transportation applications’ sustainability and security.</description><subject>Accuracy</subject><subject>Bragg gratings</subject><subject>Cross correlation</subject><subject>Equipment and supplies</subject><subject>FBG</subject><subject>fiber optic sensing (FOS)</subject><subject>Fiber optics</subject><subject>Hybrid systems</subject><subject>Investigations</subject><subject>Localization</subject><subject>Mathematical analysis</subject><subject>Optical filters</subject><subject>PN-Coding</subject><subject>Rail transportation</subject><subject>Railroads</subject><subject>railway</subject><subject>Remote sensing</subject><subject>Security</subject><subject>Sensors</subject><subject>Technology application</subject><subject>transportation</subject><subject>Transportation applications</subject><subject>Velocity</subject><subject>Wavelength</subject><issn>2304-6732</issn><issn>2304-6732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNplkVFrwyAUhcPYYKXrD9ibsOd0Ro0xj6Wsa6FQaLtnUaOZJY2Zphv997PNGINdH64czv08eJPkMYNTjEv43L273rVWhQxCBhklN8kIYUhSWmB0--d-n0xCOMBYZYZZTkbJ26r91KG3teita4EzYHmW3lZgq4-u12BhpfZg0_VWgZ1ug21rsHPN6eIOwDgPtsI2X-IMZl3XWHXFhIfkzogm6MlPHyf7xct-vkzXm9fVfLZOFS5wnwqZiYqIXCJEKBRISlQxikSlDUNG5yQvDGIGU6khFAyiUklW5oxRwwpJ8DhZDdjKiQPvvD0Kf-ZOWH4VnK-58DF5o7kiBWUlNVJSRkiF4tMFxJoSVJZEVyqyngZW593HKX4JP7iTb2N6jlheEMwILaNrOrhqEaG2Na73QsVT6aNVrtXGRn1WUJQTymgeB7JhQHkXgtfmN2YG-WV5_N_y8Df0SY7R</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Boynukalin, Serhat</creator><creator>Paker, Selçuk</creator><creator>Atieh, Ahmad</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4662-4586</orcidid><orcidid>https://orcid.org/0000-0002-9880-5602</orcidid></search><sort><creationdate>20230801</creationdate><title>Investigation of Hybrid Remote Fiber Optic Sensing Solutions for Railway Applications</title><author>Boynukalin, Serhat ; Paker, Selçuk ; Atieh, Ahmad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-ab1ad4a5b22460a2bb2d862adef82fe5457f28f36be00a8029cb895886f87b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Bragg gratings</topic><topic>Cross correlation</topic><topic>Equipment and supplies</topic><topic>FBG</topic><topic>fiber optic sensing (FOS)</topic><topic>Fiber optics</topic><topic>Hybrid systems</topic><topic>Investigations</topic><topic>Localization</topic><topic>Mathematical analysis</topic><topic>Optical filters</topic><topic>PN-Coding</topic><topic>Rail transportation</topic><topic>Railroads</topic><topic>railway</topic><topic>Remote sensing</topic><topic>Security</topic><topic>Sensors</topic><topic>Technology application</topic><topic>transportation</topic><topic>Transportation applications</topic><topic>Velocity</topic><topic>Wavelength</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boynukalin, Serhat</creatorcontrib><creatorcontrib>Paker, Selçuk</creatorcontrib><creatorcontrib>Atieh, Ahmad</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Photonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boynukalin, Serhat</au><au>Paker, Selçuk</au><au>Atieh, Ahmad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigation of Hybrid Remote Fiber Optic Sensing Solutions for Railway Applications</atitle><jtitle>Photonics</jtitle><date>2023-08-01</date><risdate>2023</risdate><volume>10</volume><issue>8</issue><spage>864</spage><pages>864-</pages><issn>2304-6732</issn><eissn>2304-6732</eissn><abstract>Fiber optic sensing (FOS) has become a well-known technology in response to the rising demands of the railway transportation field despite the abundance of electronic sensing systems in the market. 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subjects | Accuracy Bragg gratings Cross correlation Equipment and supplies FBG fiber optic sensing (FOS) Fiber optics Hybrid systems Investigations Localization Mathematical analysis Optical filters PN-Coding Rail transportation Railroads railway Remote sensing Security Sensors Technology application transportation Transportation applications Velocity Wavelength |
title | Investigation of Hybrid Remote Fiber Optic Sensing Solutions for Railway Applications |
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