20 citations · 62 across the 8 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2021★ 20 cited
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…
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
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant
Min Wang, Li Sheng, Donghua Zhou +1
With the increasing intelligence and integration, a great number of two-valued variables (generally stored in the form of 0 or 1 value) often exist in large-scale industrial proces…