Power Transformer Anomaly Detection Based on Adaptive Kernel Fuzzy C-Means Clustering and Kernel Principal Component Analysis.
Kan TangTingzhang LiuXiaoye XiYue LinJianfei ZhaoPublished in: ANZCC (2018)
Keyphrases
- anomaly detection
- kernel principal component analysis
- fuzzy c means clustering
- kernel pca
- power transformers
- kernel function
- kernel methods
- discriminant analysis
- kernel matrix
- principal components
- preprocessing
- principal component analysis
- feature extraction
- feature space
- high dimensional
- fault diagnosis
- clustering method
- fuzzy c means
- classification method
- high dimensional feature space
- face recognition
- support vector machine svm
- unsupervised learning
- input space
- artificial intelligence
- dimensionality reduction
- spectral clustering
- feature vectors
- image segmentation
- pattern recognition
- graph kernels
- similarity measure
- support vector machine
- linear discriminant analysis