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An approximate probability graphical modelling method for complex industrial fermentation processes
conference contribution
posted on 2023-05-23, 12:34 authored by Wang, H, B Chen, Lu, Z, Faisal KhanFaisal KhanFed-batch fermentation process is an effective method for production. Due to the various feeding streams and operational conditions in different fed-batches, usually it is difficult to formulate a kinetics-based ordinary differential equations model for industrial fed-batch fermentation process. On the other hand, there are plenty of historical data collected during the fermentation process. In this paper, we firstly applied the graphical modeling method to model the fed-batch fermentation process. In this proposed method, the missing data within records are imputed, and then, the correlations between variables are determined by the low order conditional independence method, after that, the parameters of these related variables are learned by the multivariate auto regressive method. The calculation of L-lysine fed-batch fermentation process demonstrates the effectiveness of the proposed approximate model method.
History
Publication title
Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015Volume
48Editors
D MaquinPagination
826-831ISSN
2405-8963Department/School
Australian Maritime CollegePublisher
International Federation of Automatic ControlPlace of publication
The NetherlandsEvent title
9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015Event Venue
Paris, FranceDate of Event (Start Date)
2015-09-02Date of Event (End Date)
2015-09-04Rights statement
Copyright 2015 IFACRepository Status
- Restricted