Simultaneous Temperature and Relative Humidity Measurement Using Machine Learning in Rayleigh-Based Optical Frequency Domain Reflectometry

Simultaneous Temperature and Relative Humidity Measurement Using Machine Learning in Rayleigh-Based Optical Frequency Domain Reflectometry

This paper presents, for the first time to the best of our knowledge, simultaneous temperature and relative humidity (RH) measurement using a machine learning (ML) model in Rayleigh-based Optical Frequency Domain Reflectometry (OFDR). The sensor unit consists of two segments: bare and polyimide-coat...

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Bibliographic Details
Main Authors: Mateusz Mądry, Bogusław Szczupak, Mateusz Śmigielski, Bartosz Matysiak
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
distributed fiber sensors
temperature sensor
humidity sensor
optical fiber sensors
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/24/7913
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