| 1 |
Comprehensive thermodynamic analysis of the CAES system coupled with the underground thermal energy storage taking into account global, central and local level of energy conversion
Hyrzynski R, Ziolkowski P, Gotzman S, Kraszewski B, Ochrymiuk T, Badur J
Renewable Energy, 169, 379, 2021 |
| 2 |
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 |
| 3 |
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 |
| 4 |
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 |
| 5 |
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 |
| 6 |
Improved Kernel PLS-based Fault Detection Approach for Nonlinear Chemical Processes
Wang L, Shi HB
Chinese Journal of Chemical Engineering, 22(6), 657, 2014 |
| 7 |
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 |
| 8 |
Validation of continuous-time models with delay
Ahmed S, Huang BA, Shah SL
Chemical Engineering Science, 64(3), 443, 2009 |
| 9 |
Improved kernel PCA-based monitoring approach for nonlinear processes
Ge ZQ, Yang CJ, Song ZH
Chemical Engineering Science, 64(9), 2245, 2009 |
| 10 |
Diagnosis of process faults in chemical systems using a local partial least squares approach
Kruger U, Dimitriadis G
AIChE Journal, 54(10), 2581, 2008 |
