Presentation Information
[ThG1-3]Multi-modal Data Fusion with Knowledge Graph for Alarm Root Cause Analysis in Optical Networks
○Mofan Wang1, Chunyu Zhang1, Min Zhang2, Danshi Wang1 (1. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (China), 2. Shenzhen Research Institute of Beijing University of Posts and Telecommunications (China))
Keywords:
Artificial intelligence and machine learning for optical network design,control,and management
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.
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