Diagnosis of Rolling Bearing Based on Classification for High Dimensional Unbalanced Data.
Qi HangJinghui YangLining XingPublished in: IEEE Access (2019)
Keyphrases
- unbalanced data
- high dimensional
- training data
- monitoring and fault diagnosis
- pattern recognition
- classification accuracy
- fault diagnosis
- feature selection
- support vector machine svm
- decision trees
- low dimensional
- dimensionality reduction
- nearest neighbor
- text classification
- class labels
- feature vectors
- classification algorithm
- training set
- image classification
- training samples
- text categorization
- knn
- high dimensional data
- ridge regression
- support vector