A Fault Feature Extraction Method for Machine Health Diagnosis Using Manifold Learning.
Yongbin LiuLin ZhuQingbo HePing ZhangJiwen ZhaoPublished in: ICDMA (2012)
Keyphrases
- manifold learning
- fault diagnosis
- fault detection
- multiple faults
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- semi supervised
- diffusion maps
- subspace learning
- feature extraction
- dimension reduction
- head pose estimation
- manifold learning algorithm
- laplacian eigenmaps
- neural network
- model based diagnosis
- high dimensional
- high dimensional data
- locally linear embedding
- geodesic distance
- feature space
- clustering method
- riemannian manifolds
- manifold structure
- locality preserving projections
- intrinsic manifold