Smart Optical Fingerprint Analysis for Soft Failure Diagnosis in Transport Network
A novel multistage ML model identifies the type, severity, and localization of failures based on their optical fingerprint. Data is sourced from a test-bed emulating two common optical network failures: connector issues and laser drift.
Authors
- Bertrand Le Guyader
- Abdennour Ben Terki
- Nicola Sambo
- Maxime Laye
- Ahmed Triki (ORCID: https://orcid.org/0000-0002-1815-1451)
- Sébastien Buis
- Mathieu Herviou
Institutions
- Scuola Superiore Sant'Anna (IT)
- Orange (France) (FR)
Publication Details
- Published
- 2025-05-06
- DOI
- https://doi.org/10.23919/ondm65745.2025.11029363
- Primary Topic
- Integrated Circuits and Semiconductor Failure Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00