Kernel Based Manifold Learning for Complex Industry Fault Detection.
Jian ChengYi-Nan GuoPublished in: IDEAL (2013)
Keyphrases
- manifold learning
- fault detection
- industrial processes
- dimensionality reduction
- fault diagnosis
- low dimensional
- diffusion maps
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- tennessee eastman
- fuel cell
- fault identification
- dimension reduction
- semi supervised
- robust fault detection
- manifold structure
- laplacian eigenmaps
- support vector
- feature extraction
- kernel methods
- pairwise
- neural network
- image classification
- knowledge discovery
- control system
- feature space
- locally linear embedding
- pattern recognition
- image processing
- decision making
- data sets