| Titre : | Two-dimensional dynamic principal component analysis with autodetermined support region (2009) |
| Auteurs : | Yuan Yao, Auteur ; Yinghu Diao, Auteur ; Ningyun Lu, Auteur ; Junde Lu, Auteur ; Furong Gao, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 48 N°2, Janvier 2009) |
| Article en page(s) : | p.837–843 |
| Note générale : | chemical engineering |
| Langues : | Anglais |
| Tags : | Dynamics--Principal Component Analysis |
| Résumé : | Dynamics are inherent characteristics of batch processes. In some cases, such dynamics exist not only within a particular batch, but also from batch to batch. In previous work, two-dimensional dynamic principal component analysis (2-D-DPCA) has been developed to monitor 2-D dynamics. Support region determination is a key step in 2-D-DPCA modeling and monitoring of a batch process. A proper support region can ensure modeling accuracy, monitoring efficiency, and reasonable fault diagnosis. In this work, an automatic method for support region determination is developed. This data-based method can be applied on different batch processes without prior process knowledge. Simulation shows that the developed method has good application potentials for both monitoring and fault diagnosis. |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie800825m |
