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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong Dong McAvoy, T.J. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Chem. Eng., Maryland Univ., College Park, MD, USA (Dong Dong; McAvoy, T.J.) |
| Abstract | Batch processes are very important to the chemical and manufacturing industries. Techniques for monitoring these batch processes to ensure their safe operation and that they produce consistent high quality products are needed. Nomikos and MacGregor (1994) present a multi-way principal component analysis (MPCA) approach for monitoring batch processes, and test results show that the method is simple, powerful, and effective. However MPCA is a linear method, and most batch processes are nonlinear. In this paper a nonlinear principal component analysis (NLPCA) method (Dong-McAvoy, 1993) is used for batch process monitoring. The main focus of this paper is on multi-stage batch process monitoring. The proposed approach and special problems for multi-stage batch processes are illustrated through a detailed simulation study. |
| Starting Page | 1857 |
| Ending Page | 1861 |
| File Size | 544712 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780324455 |
| DOI | 10.1109/ACC.1995.531208 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-06-21 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monitoring Principal component analysis Chemical engineering Testing Ear Educational institutions Chemical processes Chemical industry Production Costs |
| Content Type | Text |
| Resource Type | Article |
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