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
em Zh
| WPRIM
| ID: wpr-286263
Biblioteca responsável:
WPRO
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.
Texto completo:
1
Base de dados:
WPRIM
Assunto principal:
Cefalosporinas
/
Dinâmica não Linear
/
Análise de Componente Principal
/
Fermentação
/
Previsões
/
Métodos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Biotechnology
Ano de publicação:
2006
Tipo de documento:
Article