控制理论与应用2025，Vol.42Issue(8)：1650-1658,9.DOI:10.7641/CTA.2024.30424
基于CE-Louvain分解和动态递归SVDD的分布式过程监测
Distributed process monitoring based on CE-Louvain decomposition and dynamic recursive SVDD
摘要
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.关键词
非线性动态过程/过程监测/CE-Louvain分解/支持向量数据描述Key words
nonlinear dynamic processes/process monitoring/CE-Louvain decomposition/support vector data descrip-tion引用本文复制引用
王晶,刘鹏阳,卢山,周萌,陈晓露..基于CE-Louvain分解和动态递归SVDD的分布式过程监测[J].控制理论与应用,2025,42(8):1650-1658,9.基金项目
国家自然科学基金项目(61973023,62273007,62003220),深圳市自然科学基金项目(20220813001358001)资助.Supported by the National Natural Science Foundation of China(61973023,62273007,62003220)and the Natural Science Foundation of Shenzhen(20220813001358001). （61973023,62273007,62003220）
