HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines.
Dan LiuShisheng ZhongLin LinMinghang ZhaoXuyun FuXueyun LiuPublished in: Knowl. Based Syst. (2024)
Keyphrases
- hyperplane
- fault detection
- imbalanced data
- fault diagnosis
- class imbalance
- support vector machine
- support vector
- decision boundary
- minority class
- training samples
- fault identification
- class distribution
- industrial processes
- feature space
- data points
- input space
- tennessee eastman
- fuel cell
- principal components
- failure detection
- robust fault detection
- convex hull
- svm classifier
- kernel function
- support vectors
- linearly separable
- artificial intelligence
- machine learning
- data sets
- image classification
- fuzzy logic
- feature vectors
- expert systems
- training data
- feature selection