Maximum Class Separability-Based Discriminant Feature Selection Using a GA for Reliable Fault Diagnosis of Induction Motors.
Md. Rashedul IslamSheraz A. KhanJong-Myon KimPublished in: ICIC (3) (2015)
Keyphrases
- class separability
- fault detection and diagnosis
- fault diagnosis
- feature selection
- induction motor
- genetic algorithm ga
- neural network
- dimensionality reduction
- genetic algorithm
- expert systems
- fault detection
- discriminant analysis
- fuzzy logic
- feature space
- bp neural network
- linear discriminant analysis
- intra class
- operating conditions
- rbf neural network
- feature extraction
- feature set
- simulated annealing
- multi objective
- pattern recognition
- power plant
- principal component analysis
- support vector machine
- machine learning
- model selection
- low dimensional
- particle swarm optimization pso
- artificial neural networks
- graph embedding
- real time