GAN Based Soft Failure Detection and Identification for Long-haul Coherent Transmission Systems

We propose a GAN based soft failure detection and identification algorithm. For the training, the detection and identification only need normal samples and very few soft failure samples, respectively. 95% accuracy is achieved in experiment.