Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms.
Jie ChenRonald J. PattonGuo-Ping LiuPublished in: Int. J. Syst. Sci. (1996)
Keyphrases
- multi objective optimization
- fault diagnosis
- multi objective
- genetic algorithm
- evolutionary algorithm
- pareto optimal
- electronic equipment
- expert systems
- neural network
- analog circuits
- multi objective genetic algorithms
- fault detection
- optimal design
- fuzzy logic
- pareto optimal set
- differential evolution
- nsga ii
- optimum design
- multiple objectives
- chemical process
- multi objective genetic algorithm
- operating conditions
- monitoring and fault diagnosis
- optimization algorithm
- simulated annealing
- artificial neural networks
- power plant
- bp neural network
- bi objective
- condition monitoring
- crossover and mutation
- dynamic programming
- power transformers
- fault detection and diagnosis
- gas turbine
- decision making
- fault identification
- multi sensor information fusion
- multiple faults
- wind turbine
- mutation operator
- fuzzy sets
- evolutionary computation
- genetic programming
- fitness function