文献类型：期刊文献

中文题名：基于局部-整体相关特征的多单元化工过程分层监测

英文题名：Hierarchical Monitoring for Multi-unit Chemical Processes Based on Local-global Correlation Features

作者：姜庆超[1,2];颜学峰[1,2]

机构：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237;[2]同济大学上海智能科学与技术研究院,上海200092

年份：2020

卷号：46

期号：9

起止页码：1770

中文期刊名：自动化学报

外文期刊名：Acta Automatica Sinica

收录：CSTPCD;;EI(收录号：20204509468580);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；PubMed;

基金：国家自然科学基金(61973119,61603138,21878081)资助。

语种：中文

中文关键词：局部-整体相关特征;多单元化工过程;分层过程监测;故障检测;故障定位

外文关键词：Local-global correlation feature;multi-unit chemical process;hierarchical process monitoring;fault detection;fault location

摘要：针对一类多单元化工过程的监测问题,提出基于局部-整体相关特征的分层故障检测与故障定位方法,通过表征单元内部变量相关性、单元与单元间相关性、局部单元与过程整体相关性,对过程运行状态进行判断,以提升过程监测的准确性与可靠性.首先,采用典型相关分析,通过引入邻域单元相关变量提取每个单元的独有特征和外部相关特征;其次,对每个单元的独有特征和所有单元的外部相关特征建立统计模型实现分层故障检测;然后,建立单元-变量分层贡献图,对故障单元以及故障变量实现分层定位.通过在Tennessee Eastman仿真过程和一个实验室级甘油精馏过程中的应用说明所提分层监测方法的有效性.
A hierarchical process monitoring method based on local-global correlation features is proposed for a class of multi-unit chemical processes.The process operation status is identified by characterizing the correlation within a local unit,between units,and between the local unit and the whole process,through which the monitoring reliability is enhanced.First,based on canonical correlation analysis,individual characteristics and external correlation characteristics of each unit are extracted by introducing correlated variables from neighboring units;Second,multivariate statistical monitoring models are established for individual characteristics of each unit and external correlation characteristics of all units;Then,the unit-variable hierarchical contribution plot is established to locate the fault units and fault variables hierarchically.The effectiveness of the proposed hierarchical monitoring is demonstrated through applications to the Tennessee Eastman process and a laboratory distillation process.