Adaptive Cointegration Analysis and Modified RPCA With Continual Learning Ability for Monitoring Multimode Nonstationary Processes.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3140065
Abstract: This study investigates nonstationary process monitoring under frequently varying modes, where new modes are allowed to emerge constantly. However, in current multimode process monitoring methods, generally, data are required from all possible modes and mode… read more here.
Keywords: cointegration; multimode nonstationary; nonstationary processes; analysis ... See more keywords
A Novel Dynamic Monitoring Method Based on Co-integration Analysis for Nonstationary Processes
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DOI: 10.1109/tim.2025.3542856
Abstract: Due to reasons such as misoperation and mode transition, most modern industrial processes exhibit nonstationary characteristics. Traditional multivariate statistical process monitoring (MSPM) methods like the principal component analysis (PCA) and partial least squares (PLSs) cannot… read more here.
Keywords: method; integration analysis; analysis; nonstationary processes ... See more keywords
Anomaly Monitoring of Nonstationary Processes With Continuous and Two-Valued Variables
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3167838
Abstract: With the increasing complexity and scale of modern industrial processes, there widely exist two-valued variables (TVs), such as status monitoring and numerical range variables. However, the traditional process monitoring approaches (such as principal component analysis… read more here.
Keywords: nonstationary processes; anomaly monitoring; valued variables; two valued ... See more keywords