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

Demonstration of Fault Localization in Optical Networks Based on Knowledge Graph and Graph Neural Network

Not Accessible

Your library or personal account may give you access

Abstract

A fault localization method for optical networks using knowledge graph and graph neural network is proposed. Experimental demonstration shows that the proposed method is effective in automating the localizing of optical network faults.

© 2020 The Author(s)

PDF Article
More Like This
Demonstration of Alarm Knowledge Graph Construction for Fault Localization on ONOS-based SDON Platform

Zhuotong Li, Yongli Zhao, Yajie Li, Sabidur Rahman, Ying Wang, Xiaosong Yu, Lizhong Zhang, Guoli Feng, and Jie Zhang
M3Z.14 Optical Fiber Communication Conference (OFC) 2020

Suspect Fault Screening Assisted Graph Aggregation Network for Intra-/Inter-Node Failure Localization in ROADM-based Optical Networks

Ruikun Wang, Jiawei Zhang, Shuangyi Yan, Chuidian Zeng, Hao Yu, Zhiqun Gu, Bojun Zhang, Tarik Taleb, and Yuefeng Ji
We4B.4 European Conference and Exhibition on Optical Communication (ECOC) 2022

Optical Network Diagnostics Using Graph Neural Networks and Natural Language Processing

Xiaonan Xu, Haoshuo Chen, Jesse E. Simsarian, Roland Ryf, Mikael Mazur, Lauren Dallachiesa, Nicolas K. Fontaine, and David T. Neilson
M3G.5 Optical Fiber Communication Conference (OFC) 2023

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.