Monitoring batch processes using multiway principal component analysis

AIChE Journal

Volumn 40, Issue 8, 1994, Pages 1361-1375

  Nomikos, Paul ^a   MacGregor, John F ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL REACTORS; DATA REDUCTION; MATHEMATICAL MODELS; PROCESS CONTROL; STATISTICAL METHODS;

BATCH PROCESSES; MULTIWAY PRINCIPAL COMPONENT ANALYSIS;

CHEMICAL REACTIONS;

EID: 0028483476     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.690400809     Document Type: Article

References (63)

1. Wave‐Net: A Multiresolution, Hierarchical Neural Network with Localized Learning
2. Detecting Changes in Signals and Systems. A Survey
3. Incorporating Scheduling in the Optimal Design of Multiproduct Batch Plants
4. A General Framework for Creating Expert Systems for Control System Design
5. Applications of Estimation Techniques to Batch Reactors: I. Modeling Thermal Effects
6. Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems: Effect of Inequality of Variance in One‐Way Classification
7. Dynamic Modeling of the Batch, Semi‐Batch and Continuous Production of Styrene‐Butadiene Copolymers by Emulsion Polymerization
8. Representation of Process Trends: I. A Formal Representation Framework
9. Simultaneous Optimization and Solution Methods for Batch Reactor Control Profiles
10. Application of Estimation Techniques to Batch Reactors: II. Experimental Studies in State and Parameter Estimation
11. Application of Estimation Techniques to Batch Reactors: III. Modeling Refinements which Improve the Quality of State and Parameter Estimation
12. Cross‐Validatory Choice of the Number of Components from a Principal Component Analysis
13. Analytical and Knowledge‐Based Redundancy for Fault Diagnosis in Process Plants
14. Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge Based Redundancy: A Survey and Some New Results
15. Partial Least Squares Regression: A Tutorial
16. Principal Component Analysis of Multivariate Images
17. Process Fault Detection Based on Modeling and Estimation Methods: A Survey
18. Control Procedures for Residuals Associated with Principal Component Analysis
19. Automatic Generation of Qualitative Description of Process Trends for Fault Detection and Diagnosis
20. Early Detection of Hazardous States in Chemical Reactors
21. Feedback Control of Polymer Quality on Semi‐Batch Copolymerization Reactors
22. State Estimation for Semi‐Batch Polymerization Reactors
23. Nonlinear Controllers for Trajectory Tracking in Batch Processes
24. Cross‐Validation in Principal Component Analysis
25. Multivariate Statistical Monitoring of Process Operating Performance
26. Control of Polymerization Reactors: A Review
27. State Estimation for Polymerization Reactors
28. Monitoring and Diagnosis of Process Operating Performance by Multi‐Block PLS Methods with an Application to Low Density Polyethylene Production
29. A Nonlinear DMC Algorithm and its Application to a Semi‐Batch Polymerization Reactor
30. Diagnostic Model Processor Using Deep Knowledge for Process Fault Diagnosis
31. Current Status and Challenges of Batch Processing Systems Engineering
32. Semi‐Batch Reactor Dynamics and State Estimation
33. Calorimetric‐State Estimators for Chemical Reactor Diagnosis and Control: Review of Methods and Applications
34. Multivariate Data Analysis Applied to Low Density Polyethyelene Reactors
35. Three‐Way Methods for the Calibration of Chromatographic Systems: Comparing PARAFAC and Three‐Way PLS
36. Model L.A. A Modeling Language for Process Engineering: I. The Formal Framework
37. A Neural Network Methodology for Process Fault Diagnosis
38. A Survey of Design Methods for Failure Detection in Dynamic Systems
39. Cross‐Validatory Estimation of the Number of Components in Factor and Principal Components Models
40. Principal Component Analysis
41. Multi‐Way Principal Components and PLS Analysis
42. Dynamic Thermal Analyzer for Monitoring Batch Processes