Improved multi-stage online monitoring strategy for batch process

In order to accurately divide the stages and improve the sensitivity of fault diagnosis, a new method is proposed for the sub-stage separation of batch process. First, based on the changes in the load matrices, which reveal the change of data direction, rough separation of operation sub-stage is exe...

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Bibliographic Details
Main Authors: Li, Chunlei, Wang, Pu, Gao, Xuejin
Format: Conference Proceeding
Language:English
Subjects:
batch process
Batch production systems
Computer simulation
Conferences
Criteria
Data models
Fermentation
Load modeling
Monitoring
operation stage separation
Principal component analysis
principal component analysis (PCA)
Separation
Similarity
Solid modeling
Strategy
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Summary:In order to accurately divide the stages and improve the sensitivity of fault diagnosis, a new method is proposed for the sub-stage separation of batch process. First, based on the changes in the load matrices, which reveal the change of data direction, rough separation of operation sub-stage is executed. According to the criterion of minimum similarity distances, time-slice matrices are sorted to realize separation of operation sub-stage more particularly for batch process. The two-step separation method considers evolvement of the underlying process behavior. Therefore, the method can accurately divide the stages. Finally, multi-way principal component analysis (MPCA) model is established for each phase and applied to on-line monitoring for batch process. The proposed method is applied to penicillin fermentation process, the simulation results show that the multistage-based MPCA method has better performance, compared with the traditional MPCA.
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2016.7554432