SARAD : spatial association-aware anomaly detection and diagnosis for multivariate time series
Z. Dai, Ligang He, S. Yang, M. Leeke
Anomaly detection in time series data is fundamental to the design, deployment, and evaluation of industrial control systems. Temporal modeling has been the natural focus of anomaly detection approaches for time series data. However, the focus on temporal modeling can obscure or …