A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection.
Jun YiLing WuWei ZhouHaibo HeLizhong YaoPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2021)
Keyphrases
- fault detection
- dimensionality reduction
- nearest neighbor
- high dimensional
- data points
- high dimensional data
- linear dimensionality reduction
- high dimensional spaces
- kernel pca
- random projections
- low dimensional
- fault diagnosis
- sparse representation
- fault identification
- industrial processes
- k nearest neighbor
- principal component analysis
- tennessee eastman
- feature space
- condition monitoring
- high dimensionality
- failure detection
- knn
- feature extraction
- feature selection
- fuel cell
- fault detection and diagnosis
- power plant
- pattern recognition
- manifold learning
- principal components
- fault isolation
- fault localization
- machine learning
- robust fault detection
- decision boundary
- training set
- fault detection and isolation
- expert systems
- face recognition
- decision trees
- artificial intelligence