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Monitoring multimode processes: a modified PCA algorithm with continual
  learning ability
v1v2v3v4v5 (latest)

Monitoring multimode processes: a modified PCA algorithm with continual learning ability

Journal of Process Control (J. Process Control), 2020
13 December 2020
Jingxin Zhang
Donghua Zhou
Maoyin Chen
ArXiv (abs)PDFHTML

Papers citing "Monitoring multimode processes: a modified PCA algorithm with continual learning ability"

4 / 4 papers shown
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature ProjectionComputer Vision and Pattern Recognition (CVPR), 2023
Qiao Gu
Dongsub Shim
Florian Shkurti
CLLKELM
351
17
0
26 Mar 2023
Continual learning-based probabilistic slow feature analysis for
  multimode dynamic process monitoring
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoringIEEE Transactions on Automation Science and Engineering (T-ASE), 2022
Jingxin Zhang
Donghua Zhou
Maoyin Chen
Xia Hong
212
29
0
23 Feb 2022
Self-learning sparse PCA for multimode process monitoring
Self-learning sparse PCA for multimode process monitoringIEEE Transactions on Industrial Informatics (TII), 2021
Jingxin Zhang
Donghua Zhou
Maoyin Chen
220
26
0
07 Aug 2021
Monitoring nonstationary processes based on recursive cointegration
  analysis and elastic weight consolidation
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation
Jingxin Zhang
Donghua Zhou
Maoyin Chen
133
3
0
21 Jan 2021
1
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