97 citations · 171 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Graph learning under spectral sparsity constraints
B. Subbareddy, Aditya Siripuram, Jingxin Zhang
Graph inference plays an essential role in machine learning, pattern recognition, and classification. Signal processing based approaches in literature generally assume some variati…