Jennifer Werner

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

This work augments a large, fully annotated experimental dataset for batch distillation with a corresponding simulation dataset, creating a novel hybrid dataset that provides a unique basis for simulation-to-experiment style transfer, the generation of pseudo-experimental data, and future research on deep AD methods in chemical process monitoring.