An integrated approach to bearing prognostics based on EEMD-multi feature extraction, Gaussian mixture models and Jensen-Rényi divergence.
Akhand RaiSanjay H. UpadhyayPublished in: Appl. Soft Comput. (2018)
Keyphrases
- gaussian mixture model
- feature extraction
- feature vectors
- covariance matrices
- mixture model
- speaker identification
- feature space
- speaker recognition
- em algorithm
- probability density
- gaussian mixture
- maximum likelihood
- expectation maximization
- density estimation
- gaussian distribution
- image processing
- probability density function
- covariance matrix
- pattern classification
- learning algorithm
- feature set
- principal component analysis
- distance measure
- supervised learning
- extracted features
- pattern recognition
- face recognition
- extracting features
- feature selection