1 |
MULTIMODE NON-GAUSSIAN PROCESS MONITORING BASED ON LOCAL ENTROPY INDEPENDENT COMPONENT ANALYSIS Zhong N, Deng XG Canadian Journal of Chemical Engineering, 95(2), 319, 2017 |
2 |
Multimode Monitoring of Oxy-Gas Combustion Through Flame Imaging, Principal Component Analysis, and Kernel Support Vector Machine Bai XJ, Lu G, Hossain MM, Yan Y, Liu S Combustion Science and Technology, 189(5), 776, 2017 |
3 |
Key principal components with recursive local outlier factor for multimode chemical process monitoring Song B, Tan S, Shi HB Journal of Process Control, 47, 136, 2016 |
4 |
An aligned mixture probabilistic principal component analysis for fault detection of multimode chemical processes Yang YW, Ma YX, Song B, Shi HB Chinese Journal of Chemical Engineering, 23(8), 1357, 2015 |
5 |
A novel multimode process monitoring method integrating LCGMM with modified LFDA Ren SJ, Song ZH, Yang MY, Ren JG Chinese Journal of Chemical Engineering, 23(12), 1970, 2015 |
6 |
Modeling and monitoring of multimode process based on subspace separation Zhang YW, Wang C, Lu RQ Chemical Engineering Research & Design, 91(5), 831, 2013 |
7 |
Monitoring of time-varying processes using kernel independent component analysis Zhang YW, An JY, Zhang HL Chemical Engineering Science, 88, 23, 2013 |
8 |
Multimode Process Monitoring Based on Fuzzy C-means in Locality Preserving Projection Subspace Xie X, Shi HB Chinese Journal of Chemical Engineering, 20(6), 1174, 2012 |
9 |
Mixture Bayesian Regularization Method of PPCA for Multimode Process Monitoring Ge ZQ, Song ZH AIChE Journal, 56(11), 2838, 2010 |
10 |
Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models Yu J, Qin SJ AIChE Journal, 54(7), 1811, 2008 |