A process monitoring criterion based on weighted contribution of principal components.
Yiming DongLi LiangTongze HouXin MaYouqing WangPublished in: SAFEPROCESS (2023)
Keyphrases
- principal components
- principal component analysis
- dimensionality reduction
- correlation coefficient
- multivariate data
- principal components analysis
- hyperplane
- principal component regression
- kernel space
- error minimization
- kernel principal component analysis
- covariance matrix
- minimum error
- feature set
- independent components
- weight vector
- linear features
- principal curves
- spectral data
- neural network
- low dimensional
- feature space
- feature selection