Diagnosis and Management of Faults in Distributed Chemical Processes P Diagnosis and Management of Faults in Distributed Chemical Processes P.I.: Nael H. El-Farra, Dept. of Chemical Engineering & Materials Science, UC Davis Objective: Development of a unified framework for model-based fault detection and isolation (FDI) and fault-tolerant control (FTC) of distributed processes modeled by systems of nonlinear partial differential equations with constrained uncertain dynamics and limited measurements. Methodological framework: (1) Model reduction: low-order model captures dominant dynamics (2) Reduced-order model-based FDI-FTC architecture: (a) Control: robustly stabilizing feedback laws (b) Monitoring: FDI rules based on actual vs. fault-free behavior (c) Reconfiguration: Stability-based actuator switching laws (3) Implementation on the distributed process: Linking alarm thresholds & reconfiguration rules to process structure via perturbation theory Applications to simulated models of particulate processes: Isothermal continuous crystallizer Influence of control system failures on Crystal Size Distribution (CSD) Shaping CSD through integrated monitoring and reconfigurable control