Identifying and Correcting Step Losses in Single-Ended Fiber-Optic Distributed Temperature Sensing Data
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Fiber-optic distributed temperature sensing (DTS) makes it possible to observe temperatures on spatial scales as fine as centimeters and at frequencies up to 1 Hz.
Over the past decade, fiber-optic DTS instruments have increasingly been employed to monitor environmental temperatures, from oceans to atmospheric monitoring.
Because of the nature of environmental deployments, optical fibers deployed for research purposes often encounter step losses in the Raman spectra signal.
Whether these phenomena occur due to cable damage or impingements, sharp bends in the deployed cable, or connections and splices, the step losses are usually not adequately addressed by the calibration routines provided by instrument manufacturers and can be overlooked in postprocessing calibration routines as well.
Here we provide a method to identify and correct for the effects of step losses in raw Raman spectra data.
The utility of the correction is demonstrated with case studies, including synthetic and laboratory data sets.
American Psychological Association (APA)
Hausner, Mark B.& Kobs, Scott. 2016. Identifying and Correcting Step Losses in Single-Ended Fiber-Optic Distributed Temperature Sensing Data. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110580
Modern Language Association (MLA)
Hausner, Mark B.& Kobs, Scott. Identifying and Correcting Step Losses in Single-Ended Fiber-Optic Distributed Temperature Sensing Data. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110580
American Medical Association (AMA)
Hausner, Mark B.& Kobs, Scott. Identifying and Correcting Step Losses in Single-Ended Fiber-Optic Distributed Temperature Sensing Data. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110580
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110580