Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders

no code implementations • 28 Dec 2019 • Manuel Arias Chao, Bryan T. Adey, Olga Fink

With this work, we propose training a variational autoencoder (VAE) with labeled and unlabeled samples while inducing implicit supervision on the latent representation of the healthy conditions.

Clustering Fault Detection +4