Unified discriminant manifold learning for rotating machinery fault diagnosis.
Changyuan YangSai MaQinkai HanPublished in: J. Intell. Manuf. (2023)
Keyphrases
- rotating machinery
- manifold learning
- fault diagnosis
- low dimensional
- locality preserving projections
- fault detection
- discriminant projection
- discriminant embedding
- feature extraction
- dimensionality reduction
- high dimensional
- neural network
- principal component analysis
- fuzzy logic
- discriminant analysis
- expert systems
- dimension reduction
- subspace learning
- nonlinear dimensionality reduction
- high dimensional data
- semi supervised
- feature space
- power transformers
- sparse representation
- operating conditions
- locally linear embedding
- analog circuits
- multiple faults
- monitoring and fault diagnosis
- face recognition
- multi sensor information fusion
- manifold structure
- chemical process
- pattern recognition
- power plant
- nearest neighbor
- data points
- image processing