research
∙
02/23/2022
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring
In this paper, a novel multimode dynamic process monitoring approach is ...
share
research
∙
10/19/2021
Hybrid variable monitoring: An unsupervised process monitoring framework
Traditional process monitoring methods, such as PCA, PLS, ICA, MD et al....
research
∙
08/07/2021
Self-learning sparse PCA for multimode process monitoring
This paper proposes a novel sparse principal component analysis algorith...
research
∙
01/21/2021
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation
This paper considers the problem of nonstationary process monitoring und...
research
∙
12/14/2020
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant
With the increasing intelligence and integration, a great number of two-...
research
∙
12/13/2020
Monitoring multimode processes: a modified PCA algorithm with continual learning ability
For multimode processes, one has to establish local monitoring models co...
research
∙
12/13/2020