Abstract | ||
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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 Yu | 1 | 66 | 9.02 |
Lingjian Ye | 2 | 1 | 0.69 |
Le Zhou | 3 | 10 | 2.22 |
Zeyu Yang | 4 | 13 | 1.97 |
Feifan Shen | 5 | 1 | 0.36 |
Zhi-huan Song | 6 | 147 | 30.60 |