Detection and Characterization of Multiple Discontinuities in Cables with Time-Domain Reflectometry and Convolutional Neural Networks

Detection and Characterization of Multiple Discontinuities in Cables with Time-Domain Reflectometry and Convolutional Neural Networks

In this paper, a convolutional neural network for the detection and characterization of impedance discontinuity points in cables is presented. The neural network analyzes time-domain reflectometry signals and produces a set of estimated discontinuity points, each of them characterized by a class des...

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Bibliographic Details
Main Authors: Marco Scarpetta, Maurizio Spadavecchia, Francesco Adamo, Mattia Alessandro Ragolia, Nicola Giaquinto
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
time-domain reflectometry
distributed sensing
fault detection
convolutional neural network
time-domain analysis
Online Access:https://www.mdpi.com/1424-8220/21/23/8032

Internet

https://www.mdpi.com/1424-8220/21/23/8032

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