Machine condition monitoring by nonlinear feature fusion based on kernel principal component analysis with genetic algorithm.
Feng WangBo ChengBinggang CaoPublished in: ICNC (2) (2007)
Keyphrases
- kernel principal component analysis
- feature fusion
- condition monitoring
- feature extraction
- genetic algorithm
- kernel pca
- discriminant analysis
- fault diagnosis
- preprocessing
- feature space
- fault detection
- principal component analysis
- principal components
- multiple features
- feature vectors
- face recognition
- kernel methods
- kernel function
- image processing
- pattern recognition
- dimensionality reduction
- neural network
- linear discriminant analysis
- fuzzy logic
- artificial neural networks
- feature selection
- support vector machine svm
- classification method
- feature set
- extracted features
- data reduction
- text classification
- kernel matrix
- high dimensional
- machine learning