Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application.
Huaikuan YiQingchao JiangXuefeng YanBei WangPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- minority class
- fault detection
- class imbalance
- majority class
- class distribution
- class imbalanced
- imbalanced class distribution
- pattern recognition
- nearest neighbour
- imbalanced data sets
- imbalanced datasets
- fault diagnosis
- imbalanced data
- high dimensionality
- support vector machine
- fault identification
- decision boundary
- fault localization
- cost sensitive
- classification error
- training dataset
- highly imbalanced
- cost sensitive learning
- decision trees
- fault detection and diagnosis
- tennessee eastman
- class labels
- training set
- power plant
- training samples
- fuzzy logic
- data points
- failure detection
- active learning
- artificial neural networks
- expert systems
- training data
- artificial intelligence