A simple visualization technique to understand the system dynamics in bioreactors.
In this article, we present a graph theoretic method to visualize and analyze the system behavior under different operating conditions. The system attributes (or variables) are the nodes in the graphs, and partial correlation between a pair of attributes defines the distance between corresponding nodes, resulting in a fully connected graph. Then, the redundant links are reduced using Pathfinder Network Scaling technique to uncover the latent network structure. We use a simulated biological reactor dataset in normal and faulty operation to validate our method. The method is general and can be used to analyze several different systems.
Patil
Kaustubh R
KR
LIAAD/INESC Porto LA, University of Porto, Portugal.
Kulkarni
Abhijit J
AJ
D000465:Algorithms; D019149:Bioreactors; D003196:Computer Graphics; D003198:Computer Simulation; D007700:Kinetics; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D013598:Systems Theory; D014584:User-Computer Interface