Fault Detection and Classification Based on PCA and N-LMC.
Xiaoqin ZhangFeng LiuPublished in: CIT/IUCC/DASC/PICom (2015)
Keyphrases
- fault detection
- feature extraction
- feature space
- fault diagnosis
- industrial processes
- support vector
- pattern recognition
- principle component analysis
- principal component analysis
- feature vectors
- dimension reduction
- svm classifier
- face images
- feature set
- fault identification
- support vector machine svm
- tennessee eastman
- feature selection
- machine learning
- real time
- fault localization
- robust fault detection
- principal components
- high dimensional
- face recognition
- intelligent systems
- condition monitoring
- support vector machine
- chemical process
- expert systems
- data mining