The keywords that frequently used in this topics code.
Most recent update: 2021-08-21 18:44:01
| The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| API concentration prediction | 1 | | |
| Air-cooler | 1 | | |
| product quality prediction | 1 | | |
| Control | 1 | | |
| powder mixing | 1 | | |
| Process monitoring | 1 | | |
| Closed-loop identification | 1 | | |
| PAT | 1 | | |
| Vinyl acetate monomer plant | 1 | | |
| Reinforcement Learning | 1 | | |
| Optimization | 1 | | |
| Data science | 1 | | |
| PID control | 1 | | |
| soft sensors | 1 | | |
| Process Control | 1 | | |
| machine learning | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 101 | Optimization of the number of fans for air-coolers in the control of distillation columns | Control Optimization Air-cooler | O |
| 148 | API concentration prediction by NIRS measured off-line and in-line in powder mixing process | powder mixing PAT API concentration prediction | P |
| 186 | Stabilization of oscillatory PID control loops by improper PID parameter setting | PID control Closed-loop identification Vinyl acetate monomer plant | O |
| 412 | Data-driven anomaly detection, prognostics and diagnostics for operation support in biopharmaceutical manufacturing | Process monitoring Data science | O |
| 503 | Product quality prediction from small manufacturing process data based on brain-inspired bayesian attractor model | soft sensors product quality prediction machine learning | O |
| 644 | Off-line pre-learning for applying safe reinforcement learning to process control | Reinforcement Learning Process Control | O |
(C) 2021 The Society of Chemical Engineers, Japan. . All rights reserved.
www3.scej.org
easp 2.46; update.pl 2.37 (C)1999-2015 kawase