Author:
Abdelli K.,Lonardi M.,Gripp J.,Correa D.,Olsson S.,Boitier F.,Layec P.
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).
Reference2 articles.
1. Proactive fiber damage detection in real-time coherent receiver;Boitier,2017
2. Breaking Boundaries: Harnessing Unrelated Image Data for Robust Risky Event Classification with scarce State of Polarization Data;Abdelli,2023
Cited by
2 articles.
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