Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Efficient Classification of Polarization Events Based on Field Measurements

Not Accessible

Your library or personal account may give you access

Abstract

We present rare-event classification of polarization transients based on field measurements with data augmentation combined with robot-generated fiber-disturbance data. We compare machine learning methods for accuracy and required number of training sample traces.

© 2020 The Author(s)

PDF Article
More Like This
Decision Trees for Event Signature Classification on Fiber Optic Cables in Quaternion Coordinates

Essen Dossev, Petar Djukic, and Christine Tremblay
We4B.6 European Conference and Exhibition on Optical Communication (ECOC) 2022

Performance Prediction of Established Lightpaths Using Machine Learning and Field Data

Christine Tremblay
C1F_2 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2020

Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification

Adrian Tomasov, Pavel Zaviska, Vladimir Spurny, Petr Dejdar, Petr Munster, Tomas Horvath, and Ondrej Klicnik
W4.39 Optical Fiber Sensors (OFS) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved