Optimum feature extraction and selection for automatic fault diagnosis of reluctance motors.
Ilhem BoucharebAbdesselam LebaroudAmar BentounsiPublished in: IECON (2014)
Keyphrases
- fault diagnosis
- feature extraction and selection
- fault detection
- expert systems
- neural network
- fault detection and diagnosis
- pattern recognition
- analog circuits
- bp neural network
- multi sensor information fusion
- multiple faults
- fuzzy logic
- operating conditions
- electronic equipment
- monitoring and fault diagnosis
- fault identification
- power transformers
- chemical process
- gas turbine
- rbf neural network
- failure diagnosis
- rotating machinery
- feature extraction
- industrial systems
- fault detection and isolation
- soft computing methods
- condition monitoring
- information fusion
- power plant
- genetic algorithm