Model migration with inclusive similarity for development of a new process model

Industrial and Engineering Chemistry Research

Volumn 47, Issue 23, 2008, Pages 9508-9516

  Lu, Junde ^a   Gao, Furong ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

MOLDS; PROCESS MONITORING; SENSORS;

DIFFERENT OPERATING CONDITIONS; FLOW LENGTHS; INJECTION MOLDING PROCESSES; MIGRATION STRATEGIES; MOLD GEOMETRIES; NEW MODELS; NEW PROCESSES; ONLINE PREDICTIONS; OPERATING CONDITIONS; PROCESS MODELING; PROCESS MODELS; PROCESSING INDUSTRIES; SOFT SENSORS;

MATHEMATICAL MODELS;

EID: 57949086581     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie800595a     Document Type: Article

References (26)

1. Lotti, C.; Ueki, M. M.; Bretas, R. E. S. Prediction of the shrinkage of injection molded iPP plaques using artificial neural networks. J. Injection Molding Technol. 2002, 6 (3), 157-176.
2. Li, E.; Li, J.; Yu, J. A genetic neural fuzzy system and its application in quality prediction in the injection process. Chem. Eng. Commun. 2004, 191 (3), 335-355.
3. Lu, N.; Gao, F. Stage-based process analysis and quality prediction for batch processes. Ind. Eng. Chem. Res. 2005, 44 (10), 3547-3555.
4. Lee, D. E.; Song, J. H.; Song, S. O.; Yoon, E. S. Weighted support vector machine for quality estimation in the polymerization process. Ind. Eng. Chem. Res. 2005, 44 (7), 2101-2105.
5. Thompson, M. L.; Kramer, M. A. Modeling chemical processes using prior knowledge and neural networks. AIChE J. 1994, 40 (8), 1328-1340.
6. van Lith, P. F.; Betlem, B. H. L.; Roffel, B. Combining prior knowledge with data driven modeling of a batch distillation column including start-up. Comput. Chem. Eng. 2003, 27 (7), 1021-1030.
7. Lu, J.; Gao, F. Process modeling based on process similarity. Ind. Eng. Chem. Res. 2008, 47 (6), 1967-1974.
8. Feudale, R. N.; Woody, N. A.; Tan, H.; Myles, A. J.; Brown, S. D.; Ferre, J. Transfer of multivariate calibration models: a review. Chemom. Intell. Lab. Syst. 2002, 64 (2), 181-192.
9. Kolodner, J. L. Case-Based Reasoning; Morgan Kaufmann: San Mateo, 1993.
10. Watson, I. Applying Case-Based Reasoning: Techniques for Enterprise Systems; Morgan Kaufmann: San Francisco, 1997.
11. Jaeckle, C. M.; MacGregor, J. F. Product design through multivariate statistical analysis of process data. AIChE J. 1998, 44 (5), 1105-1118.
12. Jaeckle, C. M.; MacGregor, J. F. Industrial applications of product design through the inversion of latent variable models. Chemom. Intell. Lab. Syst. 2000, 50 (2), 199-210.
13. Jaeckle, C. M.; MacGregor, J. F. Product transfer between plants using historical process data. AIChE J. 2000, 46 (10), 1989-1997.
14. Garcia Munoz, S.; MacGregor, J. F.; Kourti, T. Product transfer between sites using Joint-Y PLS. Chemom. Intell. Lab. Syst. 2005, 79 (1-2), 101-114.
15. Lu, J.; Gao, F. Process similarity and developing new process models through migration. AIChE J., submitted for publication, 2008.
16. Hansen, L. K.; Salamon, P. Neural network ensembles. IEEE Trans. Pattern Mach. Intell. 1990, 12 (10), 993-1001.
17. Breiman, L. Bagging predictors. Mack Learn. 1996, 24 (2), 123-140.
18. Chiu, S. L. Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst. 1994, 2, 267-278.
19. Rogova, G. Combining the results of several neural network classifiers. Neural Networks 1994, 7 (5), 777-781.
20. Breiman, L. Heuristics of instability and stabilization in model selection. Ann. Stat. 1996, 24 (6), 2350-2383.
21. Breiman, L. Stacked regressions. Mack Learn. 1996, 24 (1), 49-64.
22. Chen, X.; Chen, G.; Gao, F. Capacitive transducer for in-mold monitoring of injection molding. Polym. Eng. Sci. 2004, 44 (8), 1571-1578.
23. Chen, X.; Gao, F.; Chen, G. A soft-sensor development for melt-flow-length measurement during injection mold filling. Mater. Sci. Eng. A 2004, 384 (1-2), 245-254.
24. Zhang, J.; Martin, E. B.; Morris, A. J.; Kiparissides, C. Inferential estimation of polymer quality using stacked neural networks. Comput. Chem. Eng. 1997, 21 (Suppl. 1), S1025-S1030.
25. Mandic, D. P.; Chambers, J. A. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures, and Stability, John Wiley: New York, 2001.
26. Hagan, M. T.; Menhaj, M. B. Training feedforward network with the marquardt algorithm. IEEE Trans. Neural Networks 1994, 5 (6), 989-993.