Multi-modal Data Fusion with Knowledge Graph for Alarm Root Cause Analysis in Optical Networks
We propose a multi-modal data method for alarm root cause analysis in optical networks, achieving accuracy of 0.926 and F1-score of 0.916 in eight concurrent root alarms identification, along with precise analysis of root causes.
Authors
- Danshi Wang (ORCID: https://orcid.org/0000-0001-9815-4013)
- Min Zhang (ORCID: https://orcid.org/0000-0002-8186-9159)
- M. Wang (ORCID: https://orcid.org/0000-0002-1758-4570)
- Chunyu Zhang (ORCID: https://orcid.org/0000-0002-5682-1647)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109870
- Citations
- 1
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China