| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7563450 | Chemometrics and Intelligent Laboratory Systems | 2012 | 12 Pages |
Abstract
⺠A new M-SDKPCA process monitoring method is proposed. ⺠Hierarchical cluster is obtained through load matrix similarity among SDKPCA models. ⺠Multi-model structures are constructed along with the variation of cluster number. ⺠Selection method of the best monitoring model from multiple models is described. ⺠The proposed approach shows better performance than MKPCA and BDKPCA.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Ya-Jun Wang, Ming-Xing Jia, Zhi-Zhong Mao,