18 citations · 19 across the 4 of their papers we have counts for
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stat.ME2021
Hybrid variable monitoring: An unsupervised process monitoring framework with binary and continuous variables
Min Wang, Donghua Zhou, Maoyin Chen
Traditional process monitoring methods, such as PCA, PLS, ICA, MD et al., are strongly dependent on continuous variables because most of them inevitably involve Euclidean or Mahala…
cs.LG2021
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…
eess.SY2021★ 1 cited
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…