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- Title
Multivariate statistical monitoring of multiphase batch processes with between-phase transitions and uneven operation durations.
- Authors
Yao, Yuan; Dong, Weiwei; Zhao, Luping; Gao, Furong
- Abstract
In order to achieve satisfactory monitoring, multivariate statistical process models should well reflect process nature. In manufacturing systems, many batch processes are inherently multiphase. Usually, different phases have different characteristics, while gradual transitions are often observed between phases. Another important feature of batch processes is the unevenness of operation durations. Especially, in multiphase batch processes, the situation becomes more complicated. In this study, a batch process modelling and monitoring strategy is proposed based on Gaussian mixture model (GMM), which can automatically extract phase and transition information for uneven-duration batch processes. The application results verify the effectiveness of the proposed method. © 2011 Canadian Society for Chemical Engineering
- Subjects
MULTIVARIATE analysis; ANALYSIS of variance; BATCH processing; MANUFACTURING processes; PROCESS control systems
- Publication
Canadian Journal of Chemical Engineering, 2012, Vol 90, Issue 6, p1383
- ISSN
0008-4034
- Publication type
Article
- DOI
10.1002/cjce.21617