Fermentation process monitoring and fault detection based on dynamic MPCA / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 483-487, 2006.
Article
in Chinese
| WPRIM
| ID: wpr-286263
ABSTRACT
A dynamic multiway principle component analysis for on-line batch process monitoring and fault detection was proposed. It integrates the time-lagged windows of process dynamic behavior with the multiway principle component analysis (MPCA). Using multi-model instead of single model, the dynamic MPCA approach emphasizes particularly on-line process performance monitoring and fault defecting. On-line process monitoring of cephalosporin C fermentation was studied, the results demonstrate that the dynamic MPCA method is able to efficiently monitor performance of the fermentation process and exactly detect faults which results in extraordinary behavior of processes.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Cephalosporins
/
Nonlinear Dynamics
/
Principal Component Analysis
/
Fermentation
/
Forecasting
/
Methods
Type of study:
Diagnostic study
/
Prognostic study
Language:
Chinese
Journal:
Chinese Journal of Biotechnology
Year:
2006
Type:
Article
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