独立元分析方法(ICA)及其在化工过程监控和故障诊断中的应用  

ICA AND ITS APPLICATION TO CHEMICAL PROCESS MONITORING AND FAULT DIAGNOSIS

作　　者：陈国金[1] 梁军[1] 钱积新[1] 

机构地区：[1]浙江大学系统工程研究所,浙江杭州310027

出　　处：《化工学报》2003年第10期1474-1477,共4页CIESC Journal

基　　金：国家高技术研究发展计划 (No 863 -5 11-92 0 -0 11;No 2 0 0 1AA4112 3 0 )资助项目~~

摘　　要：Multivariate statistical process control (MSPC) has been successfully applied to performance monitoring and fault diagnosis for chemical processes However, traditional MSPC are based upon the assumption that the separated latent variables must be subject to normal probability distribution, which sometimes can not be satisfied In this paper, a novel method combining principal component analysis (PCA) and independent component analysis (ICA) is proposed to model non Gaussian data from industry and improve the monitoring performance of process In order to deal with the uncertainty of probability distribution within the independent component, a kind of classifier referred to as support vector classifier is used for classifying the abnormal modes Simulation result for a nonisothermal continuous stirred tank reactor (CSTR) by the presented method verifies the effectiveness of ICA basedMultivariate statistical process control (MSPC) has been successfully applied to performance monitoring and fault diagnosis for chemical processes. However, traditional MSPC are based upon the assumption that the separated latent variables must be subject to normal probability distribution, which sometimes can not be satisfied. A novel method combining principal component analysis (PCA) and independent component analysis (ICA) is proposed to model non-Gaussian data from industry and improve the monitoring performance of process. In order to deal with the uncertainty of probability distribution within the independent component, a kind of classifier referred to as support vector classifier is used for classifying the abnormal modes. Simulation result for a nonisothermal continuous stirred-tank reactor (CSTR) by the presented method verifies the effectiveness of ICA-based algorithm.

关 键 词：独立元分析 支持向量分类器 过程监控 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] O212.4[自动化与计算机技术—控制科学与工程]