Statistics Decomposition and Monitoring in Original Variable Space
Multivariate Statistics Between Two-Observation Spaces
New Robust Projection to Latent Structure
Soft-Transition Sub-PCA Monitoring of Batch Processes
Bayesian Causal Network for Discrete Variables
Locally Linear Embedding Orthogonal Projection to Latent Structure
Kernel Fisher Envelope Surface for Pattern Recognition
Multivariate Statistics in Single Observation Space
Probabilistic Graphical Model for Continuous Variables
Fault Identification Based on Local Feature Correlation
Simulation Platform for Fault Diagnosis
Global Plus Local Projection to Latent Structures
Locality-Preserving Partial Least Squares Regression