Fault Detection via Occupation Kernel Principal Component Analysis.
Zachary MorrisonBenjamin P. RussoYingzhao LianRushikesh KamalapurkarPublished in: CoRR (2023)
Keyphrases
- fault detection
- kernel principal component analysis
- discriminant analysis
- kernel pca
- principal components
- feature extraction
- industrial processes
- preprocessing
- principal component analysis
- fault diagnosis
- kernel function
- high dimensional
- kernel methods
- fault identification
- tennessee eastman
- classification method
- face recognition
- high dimensional feature space
- feature space
- robust fault detection
- input space
- linear discriminant analysis
- kernel matrix
- support vector machine svm
- fuel cell
- feature vectors
- subspace methods
- extracted features
- power plant
- high dimensional data
- control system
- data analysis
- pattern recognition
- feature selection