Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning.
Qifa XuShixiang LuWeiyin JiaCuixia JiangPublished in: J. Intell. Manuf. (2020)
Keyphrases
- rotating machinery
- multi domain
- cost sensitive learning
- fault diagnosis
- class imbalance
- feature extraction
- cost sensitive
- minority class
- fault detection
- class distribution
- misclassification costs
- cross domain
- feature selection
- neural network
- active learning
- domain specific
- expert systems
- rule extraction
- fuzzy logic
- probability estimation
- missing values
- feature vectors
- support vector machine svm
- feature space
- face recognition
- machine learning
- artificial intelligence
- high dimensionality
- feature set
- reinforcement learning
- decision making
- concept drift
- non stationary
- text classification
- power plant
- multi class
- knn
- artificial neural networks
- training set
- learning algorithm