Presentation Information
[ThG1-6]Prior Knowledge-Assisted Self-Supervised Learning for Soft Fault Diagnosis with Limited Fault Samples in Optical Networks
○Xue Xiao1, Chunyu Zhang1, Min Zhang1, Qian Guo1, Zhiming Sun1, Danshi Wang1 (1. Beijing University of Posts and Telecommunications (China))
Keywords:
Artificial intelligence and machine learning for optical transmission systems and subsystems
We proposed a prior knowledge-assisted self-supervised learning scheme for soft fault diagnosis in optical networks with limited fault samples, achieving the highest average F1-score of 0.9902 and FNR of 0.0891 through prior knowledge embedding.
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