Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference.
Wentao CangYujia FuLi XieHongfeng TaoHuizhong YangPublished in: ASCC (2017)
Keyphrases
- bayesian inference
- kernel principal component analysis
- chemical process
- kernel pca
- principal components
- discriminant analysis
- prior information
- feature extraction
- probabilistic model
- principal component analysis
- kernel function
- preprocessing
- fault diagnosis
- feature space
- kernel methods
- hyperparameters
- face recognition
- high dimensional feature space
- classification method
- feature vectors
- high dimensional
- support vector machine svm
- kernel matrix
- gabor wavelets
- linear discriminant analysis
- dimensionality reduction
- particle filter
- neural network
- classification algorithm
- input space
- active learning
- subspace methods
- expert systems