Title
Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis
Abstract
Fault detection and fault identification are consecutive steps of multivariate statistical process monitoring. In recent years, increasing attention has been paid to process dynamics. For dynamic process modeling, canonical variate analysis (CVA) extracts process dynamics effectively. However, process noises are not well analyzed in traditional CVA and corresponding fault identification methods ar...
Year
DOI
Venue
2022
10.1109/TSMC.2021.3051054
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Probabilistic logic,Process monitoring,Bayes methods,Process control,Principal component analysis,Process modeling,Matrix decomposition
Journal
52
Issue
ISSN
Citations 
4
2168-2216
1
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Jianming Yu1669.02
Lingjian Ye210.69
Le Zhou3102.22
Zeyu Yang4131.97
Feifan Shen510.36
Zhi-huan Song614730.60