Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis.
Hu XiaJian ZhuangDehong YuPublished in: Neurocomputing (2014)
Keyphrases
- fault diagnosis
- multi objective
- feature selection algorithms
- feature selection
- neural network
- expert systems
- fault detection
- bp neural network
- evolutionary algorithm
- monitoring and fault diagnosis
- optimization algorithm
- data sets
- fuzzy logic
- chemical process
- operating conditions
- gas turbine
- rotating machinery
- condition monitoring
- multiple faults
- electronic equipment
- feature subset
- selection algorithm
- objective function
- fault detection and diagnosis
- control system
- multi sensor information fusion
- genetic algorithm
- unsupervised learning
- particle swarm optimization
- power transformers
- power plant