Fault Detection Based on Modified Kernel Semi-Supervised Locally Linear Embedding.
Yingwei ZhangYuanjian FuZhenbang WangLin FengPublished in: IEEE Access (2018)
Keyphrases
- fault detection
- semi supervised
- manifold learning
- laplacian eigenmaps
- locally linear embedding
- nonlinear dimensionality reduction
- subspace learning
- industrial processes
- kernel machines
- fault diagnosis
- dimensionality reduction
- semi supervised learning
- tennessee eastman
- kernel pca
- feature space
- low dimensional
- high dimensional data
- multi view
- high dimensional
- active learning
- pairwise
- supervised learning
- metric learning
- kernel function
- power plant
- dimensional data
- labeled data
- fuel cell
- kernel methods
- kernel matrix
- multi dimensional
- data sets
- feature extraction
- support vector
- principal component analysis
- pattern recognition
- geodesic distance
- machine learning
- dimension reduction
- linear discriminant analysis