Title :
On-line Monitoring of Penicillin Cultivation Process Based on Multi-way Partial Least Squares
Author :
Liu, Shicheng ; Wang, Haiqing ; Li, Ping
Author_Institution :
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou
Abstract :
On-line monitoring and fault diagnosis of a fed-batch penicillin fermentation process is presented using multi-way partial least squares method (MPLS). Since data from penicillin cultivation process are multidimensional, modeling and fault diagnosis based on the statistical data cannot be realized using traditional partial least squares (PLS) method. Multidimensional data will be cut along the variable axis, PLS model be built for every operational phase using MPLS method, and on-line monitoring and fault diagnosis of batch process be attained. The simulation is performed by means of statistical method such as Hotelling T2, Q and contribution plots. From the consistency of theoretical analysis and simulation results, the implementation of the methodology is illustrated
Keywords :
fault diagnosis; fermentation; least mean squares methods; pharmaceutical industry; process monitoring; statistical analysis; Hotelling T plot; Q plot; contribution plot; fault diagnosis; fed-batch penicillin fermentation process; multidimensional data; multiway partial least squares; online monitoring; penicillin cultivation process; statistical method; Analytical models; Fault diagnosis; Industrial control; Least squares methods; Monitoring; Multidimensional systems; Multiprotocol label switching; Principal component analysis; Process control; Statistical analysis; contribution plots; fault diagnosis; modeling; multi-way partial least squares (MPLS);
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714164