Support vector data description for machinery multi-fault classification with unbalanced datasets.
Lixiang DuanMengyun XieTangbo BaiJinjiang WangPublished in: ICPHM (2016)
Keyphrases
- support vector data description
- novelty detection
- decision trees
- benchmark datasets
- classification accuracy
- pattern recognition
- detection method
- pattern classification
- machine learning
- feature selection
- text classification
- multiple classifiers
- unsupervised learning
- kernel function
- class labels
- fault diagnosis
- training dataset
- generalization ability
- classification algorithm
- improve the classification accuracy
- support vector
- support vectors
- density estimation
- object recognition
- nearest neighbor
- feature space
- support vector machine
- support vector machine svm
- supervised learning