Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

作     者：Donglei Zheng Le Zhou Zhihuan Song Donglei Zheng;Le Zhou;Zhihuan Song

作者机构：State Key Laboratory of Industrial Control TechnologyCollege of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Automation and Electrical EngineeringZhejiang University of Science&TechnologyHangzhou 310023China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2021年第8卷第8期

页      面：1465-1476页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Zhejiang Provincial Natural Science Foundation of China(LY19F030003) Key Research and Development Project of Zhejiang Province(2021C04030) the National Natural Science Foundation of China(62003306) Educational Commission Research Program of Zhejiang Province(Y202044842) 

主　　题：Fault detection kernel method multi-rate process probability principal component analysis(PPCA) 

摘      要：In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different sources are collected at different sampling *** build a complete process monitoring strategy,all these multi-rate measurements should be considered for data-based modeling and *** this paper,a novel kernel multi-rate probabilistic principal component analysis(K-MPPCA)model is proposed to extract the nonlinear correlations among different sampling *** the proposed model,the model parameters are calibrated using the kernel trick and the expectation-maximum(EM)***,the corresponding fault detection methods based on the nonlinear features are ***,a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method.