Unsupervised Machine Anomaly Detection Using Autoencoder and Temporal Convolutional Network Anomaly detection is the cornerstone of the health management of much large industrial mechanical equipment.

The autoencoder (AE) is a fundamental deep learning approach to anomaly detection. AEs are trained on the assumption that abnormal inputs will produce higher reconstruction errors than normal ones. In ...