Introduction
Basic Statistical Fault Detection Problems
Principal Component Analysis
Canonical Variate Analysis
Partial Least Squares Regression
Fisher Discriminant Analysis
Canonical Variate Analysis
Fault Classification based on Local Linear Embedding
Fault Classification based on Fisher Discriminant Analysis
Quality-Related Global-Local Partial Least Square Projection Monitoring
Locality-Preserving Partial Least-Squares Statistical Quality Monitoring
Locally Linear Embedding Orthogonal Projection to Latent Structure (LLEPLS)
Bayesian Causal Network for Discrete Systems
Probability Causal Network for Continuous Systems
Dual Robustness Projection to Latent Structure Method based on the L_1 Norm.