Bearing fault classification based on Minimum Volume Ellipsoid feature extraction.
Mohammed Obaid MustafaGeorge K. GeorgoulasGeorge NikolakopoulosPublished in: CCA (2013)
Keyphrases
- minimum volume
- feature extraction
- novelty detection
- feature vectors
- feature space
- classification accuracy
- extracted features
- feature selection
- support vector machine svm
- training data
- dimensionality reduction
- feature set
- face recognition
- classification algorithm
- uniform convergence
- support vector
- unsupervised learning
- kernel principal component analysis
- principal component analysis
- supervised classification
- generalization ability
- sufficient conditions
- support vector machine
- knn
- active learning
- training set
- decision trees