A Simple Visualization Technique To Understand the System Dynamics in Bioreactors

摘要

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.