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- Xia Hong, et al. Show all 5 Authors
- Industrial & engineering chemistry process design and development 2019 v.58 no.14 pp. 5579-5587
- algorithms; case studies; process design; process monitoring; statistical analysis
- ... 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 projection-maximum likelihood estimation), is introduced for process monitoring. OLPP is utilized for dimensionality reduction, which provides better locality preserving power than locality preserving projection. Then, t ...