TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. (arXiv:2201.07284v1 [cs.LG])

Efficient anomaly detection and diagnosis in multivariate time-series data is
of great importance for modern industrial applications. However, building a
system that is able to quickly and accurately pinpoint anomalous observations
is a challenging problem. This is due to the lack of anomaly labels, high data
volatility and the demands of ultra-low inference times in modern applications.
Despite the recent developments of deep learning approaches for anomaly
detection, only a few of them can address all of these challenges. In …

anomaly detection arxiv data detection networks time time series transformer