화학공학소재연구정보센터
검색결과 : 7건
No. Article
1 Improved process monitoring based on global-local manifold analysis and statistical local approach for industrial process
Zhan CJ, Li SH, Yang YP
Journal of Process Control, 75, 107, 2019
2 Enhanced fault detection for nonlinear processes using modified kernel partial least squares and the statistical local approach
Wang L
Canadian Journal of Chemical Engineering, 96(5), 1116, 2018
3 Improved canonical correlation analysis-based fault detection methods for industrial processes
Chen ZW, Zhang K, Ding SX, Shardt YAW, Hu ZK
Journal of Process Control, 41, 26, 2016
4 Regression-Based Analysis of Multivariate Non-Gaussian Datasets for Diagnosing Abnormal Situations in Chemical Processes
Zeng JS, Xie L, Kruger U, Gao CH
AIChE Journal, 60(1), 148, 2014
5 Improved Kernel PLS-based Fault Detection Approach for Nonlinear Chemical Processes
Wang L, Shi HB
Chinese Journal of Chemical Engineering, 22(6), 657, 2014
6 Local ICA for multivariate statistical fault diagnosis in systems with unknown signal and error distributions
Ge ZQ, Xie L, Kruger U, Song ZH
AIChE Journal, 58(8), 2357, 2012
7 Improved kernel PCA-based monitoring approach for nonlinear processes
Ge ZQ, Yang CJ, Song ZH
Chemical Engineering Science, 64(9), 2245, 2009