Block feature selection based on NSGA-II applied to fault diagnosis of gearboxes.
Xianhua ChenZhigang TianMeng RaoPublished in: Adv. Eng. Informatics (2023)
Keyphrases
- fault diagnosis
- feature selection
- nsga ii
- expert systems
- multi objective
- fault detection
- neural network
- electronic equipment
- multiobjective optimization
- fuzzy logic
- power transformers
- bp neural network
- multiple faults
- chemical process
- gas turbine
- fault detection and diagnosis
- evolutionary multiobjective optimization
- test problems
- optimization algorithm
- optimization problems
- real time
- rbf neural network
- operating conditions
- multi objective optimization
- condition monitoring
- analog circuits
- evolutionary algorithm
- multi sensor information fusion
- pareto optimal
- linear programming
- upper bound
- support vector
- rotating machinery
- artificial intelligence