| 1 |
Robust adaptive fault tolerant control for a process with actuator faults
Arici M, Kara T
Journal of Process Control, 92, 169, 2020 |
| 2 |
Subsystem decomposition of process networks for simultaneous distributed state estimation and control
Yin XY, Liu JF
AIChE Journal, 65(3), 904, 2019 |
| 3 |
Improved nonlinear process monitoring based on ensemble KPCA with local structure analysis
Cui P, Zhan CJ, Yang YP
Chemical Engineering Research & Design, 142, 355, 2019 |
| 4 |
Gaussian feature learning based on variational autoencoder for improving nonlinear process monitoring
Zhang ZH, Jiang T, Zhan CJ, Yang YP
Journal of Process Control, 75, 136, 2019 |
| 5 |
FAULT PROGNOSIS TECHNOLOGY FOR NON-GAUSSIAN AND NONLINEAR PROCESSES BASED ON KICA RECONSTRUCTION
Ma J, Li G, Zhou DH
Canadian Journal of Chemical Engineering, 96(2), 515, 2018 |
| 6 |
NONLINEAR PROCESS MONITORING USING KERNEL NONNEGATIVE MATRIX FACTORIZATION
Zhai LR, Zhang YW, Guan SP, Fu YJ, Feng L
Canadian Journal of Chemical Engineering, 96(2), 554, 2018 |
| 7 |
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 |
| 8 |
Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes
Shang J, Chen MY, Zhang HW
Computers & Chemical Engineering, 109, 311, 2018 |
| 9 |
Fault Detection Based on Probabilistic Kernel Partial Least Square Regression for Industrial Processes
Xie Y, Zhang YW, Jia QL, Zhai LR
Journal of Chemical Engineering of Japan, 51(1), 89, 2018 |
| 10 |
Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
Liu Q, Zhu QQ, Qin SJ, Chai TY
Journal of Process Control, 67, 12, 2018 |
