Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios.
Roozbeh Razavi-FarEnrico ZioVasile PaladePublished in: Expert Syst. Appl. (2014)
Keyphrases
- model selection
- multi class
- missing data
- feature selection
- missing values
- low rank
- incomplete data
- pairwise
- multi class classification
- support vector machine
- multiple classes
- binary classification
- least squares
- matrix factorization
- multi class classifier
- data mining
- neural network
- multi task
- support vector
- fault detection
- image segmentation
- binary classifiers
- fault identification
- multi class boosting