Multivariate fault detection and classification using interval principal component analysis.
Nour BashaMohamed N. NounouHazem N. NounouPublished in: J. Comput. Sci. (2018)
Keyphrases
- fault detection
- principal component analysis
- dimension reduction
- feature extraction
- pattern recognition
- industrial processes
- machine learning
- feature space
- fuel cell
- feature vectors
- classification accuracy
- support vector machine
- fault identification
- failure detection
- fault diagnosis
- power plant
- fault detection and diagnosis
- condition monitoring
- decision trees
- independent component analysis
- management system
- training set
- support vector
- linear discriminant analysis
- covariance matrix
- computer simulation
- genetic programming
- fisher linear discriminant
- tennessee eastman