Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks
- Resource Type
- Conference
- Authors
- Abdelli, Khouloud; Azendorf, Florian; Grieser, Helmut; Tropschug, Carsten; Pachnicke, Stephan
- Source
- 2021 European Conference on Optical Communication (ECOC) Optical Communication (ECOC), 2021 European Conference on. :1-4 Sep, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Fault diagnosis
Location awareness
Deep learning
Europe
Logic gates
Passive optical networks
- Language
We propose a deep learning approach based on an autoencoder for identifying and localizing fiber faults in passive optical networks. The experimental results show that the proposed method detects faults with 97% accuracy, pinpoints them with an RMSE of 0.18 m and outperforms conventional techniques.