Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders

Shen Zhang, Fei Ye, Bingnan Wang +1

Most of the data-driven approaches applied to bearing fault diagnosis up to date are established in the supervised learning paradigm, which usually requires a large set of labeled…