Distributed process monitoring based on CE-Louvain decomposition and dynamic recursive SVDD
WANG Jing
LIU Peng-yang
LU Shan
ZHOU Meng
CHEN Xiao-lu
Abstract：A distributed process monitoring method is proposed for the complex nonlinear dynamic characteristics of the plant-wide process.It consists of two main elements:process decomposition based on copula entropy Louvain(CE-Louvain)and fault detection based on dynamic recursion support vector data description(DR-SVDD).Firstly,the variables in the plant-wide process are initially mapped into an undirected graph model corresponding to the process structure based on the mechanistic knowledge,and CE is introduced to describe the weights between different nodes(i.e.,process variables)in the undirected graph,and the CE-Louvain algorithm is finely decomposed into reasonable subblocks based on the CE-Louvain algorithm.Then,a DR-SVDD-based distributed fault detection method is proposed for each sub-block to improve the fault detection rate.Finally,the global process monitoring results are obtained by using Bayesian fusion inference method.The proposed method is validated in the Tennessee-Eastman(TE)process.
Keywords：nonlinear dynamic processesprocess monitoringCE-Louvain decompositionsupport vector data descrip-tion
Publication Date：2025-08-30
Online Publishing Date：2025-10-10(First online date of this platform, not the publication date of the document)
Pages：9( 1650-1658 )