This article introduces an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a multiscale Chebyshev Convolutional (ChebConv) encoder (MSCE) (ARGAE-MSCE), designed for unsupervised anomaly ...

This example applies various anomaly detection approaches to operating data from an industrial machine. Specifically it covers: Extracting relevant features from industrial vibration timeseries data ...

In this study, we propose a more general denoising autoencoder, by introducing a feature hierarchy design to address these challenges in unsupervised anomaly detection. In particular, we operate ...