Optimising kernel-based multivariate statistical process control

Kernel-based multivariate statistical process control (K-MSPC) extends classical MSPC by capturing nonlinear dependence through kernel principal component analysis (K-PCA). In practice, however, K-MSPC performance depends strongly on the choice of kernel and hyperparameters, which are often selected... View More