Study of the Feasibility of Decoupling Temperature and Strain from a <i>ϕ</i>-PA-OFDR over an SMF Using Neural Networks

Study of the Feasibility of Decoupling Temperature and Strain from a <i>ϕ</i>-PA-OFDR over an SMF Using Neural Networks

Despite several existing techniques for distributed sensing (temperature and strain) using standard Single-Mode optical Fiber (SMF), compensating or decoupling both effects is mandatory for many applications. Currently, most decoupling techniques require special optical fibers and are difficult to i...

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Bibliographic Details
Main Authors: Andrés Pedraza, Daniel del Río, Víctor Bautista-Juzgado, Antonio Fernández-López, Ángel Sanz-Andrés
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
decoupling
distributed sensing
XAI
machine learning
<i>ϕ</i>-PA-OFDR
Online Access:https://www.mdpi.com/1424-8220/23/12/5515

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