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Título

Dynamic Measurements of 1000 Microstrains Using Chirped-Pulse Phase-Sensitive Optical Time-Domain Reflectometry

AutorDatta Bhatta, Hari; Costa, Luis; García-Ruiz, A.; Fernández-Ruiz, María R.; Martins, Hugo F. CSIC ORCID CVN ; Tur, Moshe; González-Herráez, Miguel CSIC ORCID
Palabras claveDistributed sensing
Dynamic strain sensing
Median filtering
Noise accumulation
Optical time domain reflectometry
Reference updating.
Fecha de publicación15-jul-2019
EditorOptical Society of America
CitaciónJournal of Lightwave Technology 37: 4888-4895 (2019)
ResumenThis paper extends the capabilities of chirped-pulse phase-sensitive optical time-domain reflectometry to the measurement of large dynamic strains over hundreds of meters of standard single-mode fiber. Benefitting from single-shot strain measurements, this technique has already demonstrated dynamic strains of the order of submicrostrains with a sensitivity of picostrains-per-root-Hertz. Yet, for large dynamic strains, it relies on the accumulation of incremental measurements, where each trace is cross correlated with its predecessor to determine the relative change of strain. However, practical time records of measured high slew-rate applied perturbations contain disturbing outliers. We then detail and analyze a post-processing strategy to mitigate this limitation. Through this strategy, we are able to achieve for the first time (to our knowledge) high signal-to-noise Rayleigh-backscattering-based distributed measurements of large and fast dynamic strains of a longitudinally vibrating 4 m section at the end of 210 m of a single-mode fiber: from peak to peak 150-1190 ¿¿ at vibration frequency of 400 Hz and 50 Hz, respectively.
Descripción8 pags., 6 figs., -- Open Access funded by Creative Commons Atribution Licence 4.0
Versión del editorhttp://dx.doi.org/10.1109/JLT.2019.2928621
URIhttp://hdl.handle.net/10261/209985
DOI10.1109/JLT.2019.2928621
Identificadoresdoi: 10.1109/JLT.2019.2928621
issn: 0733-8724
Aparece en las colecciones: (CFMAC-IO) Artículos




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Este item está licenciado bajo una Licencia Creative Commons Creative Commons