Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization.
Zelin RenXuebing YangYuchen JiangWensheng ZhangPublished in: CoRR (2021)
Keyphrases
- kernel pca
- fault detection
- kernel principal component analysis
- fault diagnosis
- fault identification
- principal component analysis
- laplacian eigenmaps
- kernel methods
- dimensionality reduction
- industrial processes
- kernel matrix
- tennessee eastman
- feature space
- spectral clustering
- face recognition
- robust fault detection
- input space
- kernel function
- fuel cell
- high dimensional feature space
- feature extraction
- linear discriminant analysis
- component analysis
- constraint satisfaction
- low rank
- learning tasks
- support vector
- decision trees