WebDec 30, 2024 · Data-driven soft sensors are widely used to predict quality indices in propylene polymerization processes to improve the availability of measurements and efficiency. To deal with the nonlinearity and dynamics in propylene polymerization processes, a novel soft sensor based on quality-relevant slow feature analysis and … WebDec 6, 2024 · In this work, a novel full-condition monitoring strategy is proposed based on both cointegration analysis (CA) and slow feature analysis (SFA) with the following considerations: (1) Despite that the operation conditions may vary over time, they may follow certain equilibrium relations that extend beyond the current time, and (2) there may exist ...
A Novel Spatiotemporal Process Feature Learning Method Based …
WebJun 24, 2024 · Multivariate statistical process monitoring has been widely used in industry. However, traditional algorithms often ignore the dynamic characteristics of actual industry process. This study proposes a novel algorithm called multistep dynamic slow feature analysis (MS-DSFA), which has completed the full-condition monitoring of a dynamic … WebSep 27, 2024 · The conventional distributed modeling strategy generally includes all the process variables in large-scale process monitoring, thus submerging the local fault information. Meanwhile, fault diagnosis issues in the aforementioned process are also worth studying. To make up the deficiencies of the general distributed method, this brief … ctv layoffs toronto
Figure 1 from Multiblock Dynamic Slow Feature Analysis-Based …
Webadf_test Function slow_feature_analysis Function dynamic_slow_feature_analysis Function. Code navigation index up-to-date Go to file Go to file T; Go to line L; Go to definition R; Copy path Copy permalink; This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. WebJun 24, 2024 · Abstract: Multivariate statistical process monitoring has been widely used in industry. However, traditional algorithms often ignore the dynamic characteristics of actual industry process. This study proposes a novel algorithm called multistep dynamic slow feature analysis (MS-DSFA), which has completed the full-condition monitoring of a … WebCanonical variate analysis and slow feature analysis are combined to fully extract the static and dynamic features of a process to well characterize each performance level. An efficient assessing scheme using the Bayesian inference based criterion is developed to provide meticulous assessing result with meaningful physical interpretability and ... ctv lindsay morrison