Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings.
H. O. A. AhmedAsoke K. NandiPublished in: DSP (2017)
Keyphrases
- feature selection
- classification accuracy
- feature vectors
- support vector
- machine learning
- feature space
- feature extraction
- text classification
- feature set
- support vector machine
- decision trees
- unsupervised learning
- pattern recognition
- fault diagnosis
- model selection
- high dimensionality
- data sets
- computer vision
- neural network
- dimension reduction
- training set
- data analysis