Webb22 feb. 2024 · In this paper, a novel multimode dynamic process monitoring approach is proposed by extending elastic weight consolidation (EWC) to probabilistic slow feature analysis (PSFA) in order to extract ... http://www.ijmlc.org/vol10/999-S048.pdf
A data‐driven soft sensor based on weighted probabilistic slow feature …
Webb25 nov. 2024 · Download Citation On Nov 25, 2024, Ke Liu and others published Soft Sensor Model Based on Kernel Slow Feature Analysis and Dynamic inner Principal Component Analysis Find, read and cite all ... Webb15 feb. 2024 · In this regard, probabilistic Slow Feature Analysis (PSFA), a dynamic latent variable model, is proven to be a useful tool which extracts temporally correlated dynamic features from the high-dimensional raw measurements. The extracted latent Slow Features (SFs) can capture process variations which are useful in developing dynamic models. helping foster children transition
Monitoring of operating point and process dynamics via …
Webb23 feb. 2024 · Download PDF Abstract: In this paper, a novel multimode dynamic process monitoring approach is proposed by extending elastic weight consolidation (EWC) to probabilistic slow feature analysis (PSFA) in order to extract multimode slow features for online monitoring. EWC was originally introduced in the setting of machine learning of … http://www.ijmlc.org/vol10/999-S048.pdf Webb30 jan. 2024 · In this regard, probabilistic slow feature analysis (PSFA) is revealed to be advantageous for dynamic soft sensor modeling, which can extract slowly varying intrinsic features from high-dimensional data. However, nonlinearities prevalent in industrial processes are not considered, ... lanarkshire sexual health termination