97 citations · 115 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Continual learning-based probabilistic slow feature analysis for multimode dynamic process monitoring
Jingxin Zhang, Donghua Zhou, Maoyin Chen +1
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 or…
stat.ME2020★ 18 cited
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation
Jingxin Zhang, Maoyin Chen, Hao Chen +2
By integrating two powerful methods of density reduction and intrinsic dimensionality estimation, a new data-driven method, referred to as OLPP-MLE (orthogonal locality preserving…
stat.ME2020★ 97 cited
An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring
Jingxin Zhang, Hao Chen, Songhang Chen +1
An improved mixture of probabilistic principal component analysis (PPCA) has been introduced for nonlinear data-driven process monitoring in this paper. To realize this purpose, th…