| عنوان البحث | ملخص البحث |
| Efficient recursive principal component analysis algorithms for process monitoring | |
| Recursive fault detection and isolation approaches of time-varying processes | |
| Fault diagnosis of time-varying processes using modified reconstruction-based contributions | |
| Model-based fault diagnosis via parameter estimation using knowledge base and fuzzy logic approach | |
| Echo state neural network based state feedback control for SISO afine nonlinear systems | |
| Fault detection of nonlinear processes using fuzzy c-means-based kernel PCA | |
| Observer-based echo-state neural network control for a class of nonlinear systems | |
| Direct adaptive control based on LS-SVM inverse model for nonlinear systems | |
| Simultaneous Fault Detection and Diagnosis Using Adaptive Principal Component Analysis and Multivariate Contribution Analysis | |
| Fault Detection and Isolation Indices for Large-Scale Systems | |
| Residual Signal-based Process Monitoring of Industrial Systems | |
| On-line Fault Detection and Diagnosis of Continuous Processes Based on Mahalanobis Distance | |
| Recursive Partial Decomposition Contributions-based Fault Isolation | |
| Recursive Diagonal Contributions Method for Time Varying Chemical Processes Monitoring | |
| Advanced Principal Component Analysis for process monitoring: A Benchmark Study | |
| Qualitative Model-Based Fault Diagnosis Using Fuzzy Logic | |
