A hybrid kernel PCA, hypersphere SVM and extreme learning machine approach for nonlinear process online fault detection.
Mengqi NiJingjing DongTianzhen WangDiju GaoJingang HanMohamed El Hachemi BenbouzidPublished in: IECON (2015)
Keyphrases
- kernel pca
- fault detection
- extreme learning machine
- kernel methods
- feature space
- kernel function
- principal component analysis
- dimensionality reduction
- fault diagnosis
- support vector machine
- support vector machine svm
- hyperplane
- machine learning
- pairwise
- svm classifier
- data analysis
- support vector regression
- face recognition
- artificial intelligence
- pattern recognition
- input space
- training data
- power plant
- feature extraction