18 citations · 19 across the 4 of their papers we have counts for
5 papers
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…
Self-learning sparse PCA for multimode process monitoring
Jingxin Zhang, Donghua Zhou, Maoyin Chen
This paper proposes a novel sparse principal component analysis algorithm with self-learning ability for successive modes, where synaptic intelligence is employed to measure the im…
Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation
Jingxin Zhang, Donghua Zhou, Maoyin Chen
This paper considers the problem of nonstationary process monitoring under frequently varying operating conditions. Traditional approaches generally misidentify the normal dynamic…
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…
Monitoring multimode processes: a modified PCA algorithm with continual learning ability
Jingxin Zhang, Donghua Zhou, Maoyin Chen
For multimode processes, one generally establishes local monitoring models corresponding to local modes. However, the significant features of previous modes may be catastrophically…