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A partial Granger causality based method for analysis of parameter interactions in bioreactors |
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| Authors: | Ritesh KrishnaSatyadarshi Nanda Abhijit Kulkarni Sangameshwar Patil |
| Affiliation: | a Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK b Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, India c SAS Research and Development (I) Pvt. Ltd., Level 2A and 3, Cybercity, Tower 5, Magarpatta City, Hadapsar, Pune 411013, Maharashtra, India d Systems Research Laboratory, Tata Research Development and Design Centre (TRDDC), 54-B, Hadapsar Industrial Estate, Pune 411013, India |
| Abstract: | In this article, we utilize the concept of partial Granger causality to study the penicillin production process under several operating conditions. We propose a graph-theoretic template (causal network) based method for intelligent process monitoring. We validate our results with the aid of existing knowledge and available literature. The proposed method is quite general and can be extended to analyze several physical, chemical or biological systems. |
| Keywords: | Bioreactors Graph theory Partial Granger causality Process monitoring |
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