Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2024 > Tu2J > Tu2J.4

Anomaly Detection and Localization in Optical Networks Using Vision Transformer and SOP Monitoring

K. Abdelli, M. Lonardi, J. Gripp, D. Correa, S. Olsson, F. Boitier, and P. Layec

Not Accessible

Your library or personal account may give you access

Abstract

We introduce an innovative vision transformer approach to identify and precisely locate high-risk events, including fiber cut precursors, in state-of-polarization derived spectrograms. Our method achieves impressive 97% diagnostic accuracy and precise temporal localization (6-ms- RMSE).

© 2024 The Author(s)

PDF Article
More Like This
Optical Network Anomaly Detection and Localization Based on Forward Transmission Sensing and Route Optimization

Philip N. Ji, Zilong Ye, Yue-Kai Huang, Thomas Ferreira de Lima, Yoshiaki Aono, Koji Asahi, and Ting Wang
Th3I.3 Optical Fiber Communication Conference (OFC) 2024

Detecting Anomalies in the Optical Layer Using Unsupervised Machine Learning

Sandra Aladin, Lena Wosinska, and Christine Tremblay
Th3I.4 Optical Fiber Communication Conference (OFC) 2024

Cascaded Neural Network with Anomaly Detection for Optical Performance Monitoring

Yuanjian Li, Jing Zhang, Shaohua Hu, Wanting Zhang, Xingwen Yi, Zhenming Yu, Bo Xu, and Kun Qiu
C2F_5 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2020

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use