Abstract
This project proposes a comprehensive methodology to tackle undesirable situations in the process industry (e.g., leakage of hazardous chemical substances) to avoid severe consequencesto humans, the environment, and technical systems. The methodology development relies on machine and deep learning models for hardware and human anomaly detection, Computational Fuid Dynamics (CFD), and virt…