Temporal convolutional autoencoder for unsupervised anomaly detection in time series

• Published in: Applied soft computing Vol. 112; p. 107751
• Main Authors: Thill, Markus, Konen, Wolfgang, Wang, Hao, Bäck, Thomas
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2021
• Subjects: Anomaly detection; Autoencoder; Deep learning; Mahalanobis distance; TCN; Deep learning; Autoencoder; Anomaly detection; TCN; Mahalanobis distance

Learning temporal patterns in time series remains a challenging task up until today. Particularly for anomaly detection in time series, it is essential to learn the underlying structure of a system’s normal behavior. Periodic or quasiperiodic signals with complex temporal patterns make the problem e...