Detecting Anomalies in the Optical Layer Using Unsupervised Machine Learning
Sandra Aladin, Lena Wosinska, Christine L. Tremblay · 2024
We propose an unsupervised machine learning (ML) approach using field data for the detection of optical layer anomalies. We show how multivariate ML models can forecast hard failures by detecting soft failures.