A sparse approach to fault severity classification for gearbox monitoring.
Chuang SunPeng WangRuqiang YanRobert X. GaoPublished in: FUSION (2016)
Keyphrases
- fault diagnosis
- classification systems
- fault detection
- pattern recognition
- classification accuracy
- classification scheme
- pattern classification
- machine learning
- automatic classification
- image classification
- data sets
- monitoring system
- benchmark datasets
- support vector machine svm
- model selection
- text classification
- supervised learning
- high dimensional
- real time
- decision trees
- support vector machine
- operating conditions
- dictionary learning
- classification rate
- feature selection
- classification method
- multiscale
- support vector
- classification models
- learning algorithm
- classification algorithm
- neural network
- feature space
- feature vectors
- avoid overfitting