Machine learning and data science in chemical engineering
Chemical engineering is a data-rich subject. Practitioners collect and analyze data for
understanding flow patterns, develo** empirical models, designing and optimizing …
understanding flow patterns, develo** empirical models, designing and optimizing …
Semantic Knowledge Integrated Graph Convolutional Network for Zero-Sample Tracing of Control Performance Degradation
Tracing the cause of control performance degradation (CPD) as early as possible is
important to reducing the loss and risks for industrial processes. The existing tracing …
important to reducing the loss and risks for industrial processes. The existing tracing …
Deep-Learning-Based Model Predictive Control of an Industrial-Scale Multistate Counter-Flow Paddy Drying Process
Y Zhang, Z Fang, C Li, C Li - Foods, 2023 - mdpi.com
In practical industrial-scale paddy drying production, manual empirical operation is still
widely used for process control. This often leads to poor uniformity in the moisture content …
widely used for process control. This often leads to poor uniformity in the moisture content …