Name
Abstract | ||
|---|---|---|
In order to characterize the intrinsic performance of multi-phase batch process further, a sub-phase partition method is proposed. According to the different numbers of principal components and variation direction of variable information, a two-step phase partition is realized for the phase partition of multi-phase process. After the two-step division, the entire time-slice matrices in the same sub-phase have the same number of principal components and similar variable variation direction. And the `fake' phases, stable phases and transition phases are identified by combining the specific characteristics of batch processes. The proposed MPCA modeling methods and steps based on sub-phase partition are given and applied to online monitoring of penicillin fermentation process. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CDC.2012.6426888 | CDC |
Keywords | Field | DocType |
process monitoring,mpca based phase identification method,time slice matrices,penicillin fermentation process,subphase partition method,fermentation,mpca modeling method,online monitoring,intrinsic performance,multiphase batch process,principal component analysis,multiphase process | Process engineering,Mathematical optimization,Biological system,Matrix (mathematics),Computer science,Batch processing,Partition (number theory),Principal component analysis,Partition method | Conference |
Volume | Issue | ISSN |
null | null | 0743-1546 E-ISBN : 978-1-4673-2064-1 |
ISBN | Citations | PageRank |
978-1-4673-2064-1 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuqing Chang | 1 | 0 | 1.35 |
| Shu Wang | 2 | 0 | 0.34 |
| Shuai Tan | 3 | 0 | 0.34 |
| Fuli Wang | 4 | 52 | 12.61 |
| Zhi-Zhong Mao | 5 | 30 | 6.07 |