PCA-based Detection for TE Data Including SPE Statistic Calculation

MATLAB implementation of Principal Component Analysis (PCA) for TE data detection, featuring SPE statistic computation along with SPE and T-squared control limit calculations using built-in statistical functions and matrix operations.

MATLAB Implementation of KPCA (Kernel Principal Component Analysis) with Code Descriptions

MATLAB code implementation of KPCA (Kernel Principal Component Analysis) for nonlinear dimensionality reduction and fault diagnosis applications, including detailed algorithm explanations and statistical monitoring procedures.