A. Aitkulov, L. Palmieri, A. Chiuso, A. Galtarossa
{"title":"Machine learning method of phase extraction in distributed acoustic sensing scheme based on optical frequency domain reflectometry","authors":"A. Aitkulov, L. Palmieri, A. Chiuso, A. Galtarossa","doi":"10.1364/ofs.2022.th4.32","DOIUrl":"https://doi.org/10.1364/ofs.2022.th4.32","url":null,"abstract":"The paper describes the use of machine learning to enhance the extraction of phase information from a distributed acoustic sensor based on optical frequency domain reflectometry. RMSE reduction by about 5 dB is reported.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129521831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander R. Pietros, Kacper Rebeszko, Jacob R. Rosenbaum, M. Stone, T. Hawkins, M. Cavillon, J. Ballato, P. Dragic
{"title":"Luminescence Thermometry via Intense Green Defect Emission from an Infrared-Pumped Fluorosilicate Optical Fiber","authors":"Alexander R. Pietros, Kacper Rebeszko, Jacob R. Rosenbaum, M. Stone, T. Hawkins, M. Cavillon, J. Ballato, P. Dragic","doi":"10.1364/ofs.2022.w4.49","DOIUrl":"https://doi.org/10.1364/ofs.2022.w4.49","url":null,"abstract":"A barium fluorosilicate glass fiber, when pumped in the infrared, exhibits powerful green surface-like defect luminescence whose intensity is a strong function of temperature. Optical thermometry over the range from 25°C-130°C is demonstrated.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129666733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Masoudi, James Snook, Timothy Lee, M. Beresna, G. Brambilla
{"title":"Application of Ultra Low-loss Enhanced Backscattering Fiber in High Spatial Resolution Distributed Acoustic Sensors","authors":"A. Masoudi, James Snook, Timothy Lee, M. Beresna, G. Brambilla","doi":"10.1364/ofs.2022.th4.9","DOIUrl":"https://doi.org/10.1364/ofs.2022.th4.9","url":null,"abstract":"In this study, an ultra low-loss enhanced backscattering (ULEB) fiber with 50 point reflectors, spaced 10 cm apart, is used to demonstrate a high spatial resolution distributed acoustic sensor.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129963628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pipeline Degradation Evaluation Based on Distributed Fiber Sensors and Convolutional Neural Networks (CNNs)","authors":"Zekun Wu, Qirui Wang, A. Gribok, Kevin P. Chen","doi":"10.1364/ofs.2022.w4.41","DOIUrl":"https://doi.org/10.1364/ofs.2022.w4.41","url":null,"abstract":"We present a machine learning method to analyze data harnessed by distributed fiber sensors for pipeline monitoring. Convolutional neural networks are used to identify and classify pipeline internal defects with 99% and 94% accuracy, respectively.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129993932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantitative, distributed axial strain measurements using multiple modes in optical fibers","authors":"L. Costa, Z. Zhan, A. Marandi","doi":"10.1364/ofs.2022.w1.2","DOIUrl":"https://doi.org/10.1364/ofs.2022.w1.2","url":null,"abstract":"We present a quantitative distributed optical fiber strain sensor that localizes the measurement by exploiting the weak coupling and group velocity difference between co-propagated spatial channels in weakly coupled few-mode fibers.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Di Francesca, N. Balcon, P. Cheiney, E. Chesta, Florence Clement, S. Girard, J. Mekki, G. Mélin, A. Morana, M. Roche, D. Ricci
{"title":"Theoretical Model and Calibration of an Optical Fibre Dosimeter for the International Space Station","authors":"D. Di Francesca, N. Balcon, P. Cheiney, E. Chesta, Florence Clement, S. Girard, J. Mekki, G. Mélin, A. Morana, M. Roche, D. Ricci","doi":"10.1364/ofs.2022.th4.23","DOIUrl":"https://doi.org/10.1364/ofs.2022.th4.23","url":null,"abstract":"This paper focuses on the theoretical model, qualification and calibration of an optical fibre dosimeter developed to measure extremely low radiation doses and deployed in the International Space Station in August 2021.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134562399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Vaiano, G. Quero, S. Spaziani, A. Micco, M. Principe, M. Consales, A. Cusano
{"title":"Optical fiber Meta-tips as valuable platforms for enhanced biological sensing","authors":"P. Vaiano, G. Quero, S. Spaziani, A. Micco, M. Principe, M. Consales, A. Cusano","doi":"10.1364/ofs.2022.tu2.2","DOIUrl":"https://doi.org/10.1364/ofs.2022.tu2.2","url":null,"abstract":"Here we report on a novel biosensing platform based on the integration of a plasmonic metasurface on the optical fiber tip, able to detect biomolecular interactions with very high sensitivity.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Neves, L. Scherino, J. C. Da Silva, R. Bernard, M. Bouet, K. H. Tow, P. Petagna, L. Thévenaz
{"title":"Distributed Fibre Optic Thermo-hygrometer for Monitoring the Concrete Curing","authors":"T. Neves, L. Scherino, J. C. Da Silva, R. Bernard, M. Bouet, K. H. Tow, P. Petagna, L. Thévenaz","doi":"10.1364/ofs.2022.w4.30","DOIUrl":"https://doi.org/10.1364/ofs.2022.w4.30","url":null,"abstract":"The moisture content in concrete is a critical parameter for most of the degradation processes such as shrinkage and cracking. In this paper, we present the first kilometre-range thermo-hygrometer for monitoring the concrete curing.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134113489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xin Lu, M. Schukar, Sebastian Weege, Thomas Roske, K. Krebber
{"title":"Leakage detection at a borehole simulator using distributed acoustic sensing","authors":"Xin Lu, M. Schukar, Sebastian Weege, Thomas Roske, K. Krebber","doi":"10.1364/ofs.2022.w4.29","DOIUrl":"https://doi.org/10.1364/ofs.2022.w4.29","url":null,"abstract":"A distributed acoustic sensing system is used to detect the leakage in a borehole simulator by measuring the leakage induced vibration. The leakage location can be clearly determined by frequency spectrum analysis.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133715019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiplexed Active Fiber Bragg Grating Sensor Array Induced by Femtosecond Laser","authors":"Kehao Zhao, Sheng Huang, R. Wright, Kevin P. Chen","doi":"10.1364/ofs.2022.w4.57","DOIUrl":"https://doi.org/10.1364/ofs.2022.w4.57","url":null,"abstract":"This paper describes a method to fabricate multiplexed active fiber sensor array enabled by femtosecond laser-induced nano-scattering centers. Light scattered from laser-induced scattering centers is harnessed by on-fiber coating for active measurements.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132093047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}