Study of the Feasibility of Decoupling Temperature and Strainfrom a ϕ-PA-OFDR over an SMF Using Neural Networks

• DOI: 10.20944/preprints202305.0310.v1
• Publication Date: 2023-05-06T00:54:46Z
• Authors: Andrés Pedraza; Daniel Del Río; Víctor Bautista-J...; Antonio Fernández...; Ángel Sanz-Andrés
• Keywords: Decoupling (probability)

Abstract: Despite existing several techniques for distributed sensing (temperature and strain) using standard Single Mode optical Fiber (SMF), compensating or decoupling both effects is mandatory many applications. Currently, most of the require special fibers are difficult to implement with high spatial resolution techniques, such as ϕ-PA-OFDR. So, this work’s objective study feasibility temperature strain out a ϕ-PA-OFDR readouts taken over an SMF. For purpose, will be subjected Machine Learning algorithms, among them, Deep Neural Networks. The motivation which underlies target current blockage in widespread use Optic Sensors situations where change, due coupled dependence currently developed methods. Instead other types sensors even interrogation methods, work analyze available information order develop method capable providing about simultaneously.