AI-Enhanced Chemical Separation Based on Deep Learning for Intelligent Process Control
Chemical process operations require fault-adaptive and energy-aware automation, yet conventional control methods often struggle to maintain robustness, fault tolerance, and energy efficiency under dynamic operating conditions. This paper presents an artificial intelligence-enhanced process monitoring and control framew...