Open access
Oct 2026
Time series data with and without anomalies from a continuous distillation plant
Reliable detection of process anomalies remains a challenge in industrial chemical plants. The ability of machine learning (ML) to recognize patterns has triggered numerous research efforts to apply ML to anomaly detection (AD). Simulation-based benchmarks, such as the Tennessee Eastman process, are widely used to deve...
Aparna Muraleedharan, A. Ferre, J. Arweiler et al.
· Scientific Data · 0 citations