Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines

no code implementations • 27 Jan 2021 • Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao

We demonstrate the effectiveness of the proposed method by employing two rotating machine datasets and the quality of the automatically learned features is compared with a set of handcrafted features by training an Isolation Forest model on either of these two sets.

Anomaly Detection