Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression.
Theodoros H. LoutasDimitrios RouliasGeorge GeorgoulasPublished in: IEEE Trans. Reliab. (2013)
Keyphrases
- data driven
- support vectors
- support vector
- support vector machine
- kernel function
- training samples
- hyperplane
- regression model
- training data
- training dataset
- svm classifier
- input space
- decision functions
- training examples
- decision function
- probabilistic model
- svm training
- kernel methods
- generative model
- training process
- principal component analysis
- cross validation
- pattern recognition
- generalization ability
- feature selection
- parameter estimation