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Zhai, Lirong, Yang, Hui (2023) A time‐varying process monitoring approach based on iterative‐updated semi‐supervised nonnegative matrix factorizations. The Canadian Journal of Chemical Engineering, 101 (5) 2566-2578 doi:10.1002/cjce.24716

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Reference TypeJournal (article/letter/editorial)
TitleA time‐varying process monitoring approach based on iterative‐updated semi‐supervised nonnegative matrix factorizations
JournalThe Canadian Journal of Chemical Engineering
AuthorsZhai, LirongAuthor
Yang, HuiAuthor
Year2023 (May)Volume101
Issue5
PublisherWiley
DOIdoi:10.1002/cjce.24716Search in ResearchGate
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Mindat Ref. ID16830449Long-form Identifiermindat:1:5:16830449:5
GUID0
Full ReferenceZhai, Lirong, Yang, Hui (2023) A time‐varying process monitoring approach based on iterative‐updated semi‐supervised nonnegative matrix factorizations. The Canadian Journal of Chemical Engineering, 101 (5) 2566-2578 doi:10.1002/cjce.24716
Plain TextZhai, Lirong, Yang, Hui (2023) A time‐varying process monitoring approach based on iterative‐updated semi‐supervised nonnegative matrix factorizations. The Canadian Journal of Chemical Engineering, 101 (5) 2566-2578 doi:10.1002/cjce.24716
In(2023, May) The Canadian Journal of Chemical Engineering Vol. 101 (5) Wiley

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Xu, Feihong, Luan, Xiaoli, Liu, Fei (2023) Layered monitoring of xylenol tail gas treatment process based on stationary subspace analysis. The Canadian Journal of Chemical Engineering, 101 (3) 1499-1515 doi:10.1002/cjce.24553
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