Tuning the Parameters of a Classifier for Fault Diagnosis - Particle Swarm Optimization vs Genetic Algorithms.
Cosmin Danut BocanialaJosé L. Sá da CostaPublished in: ICINCO (1) (2004)
Keyphrases
- fault diagnosis
- particle swarm optimization
- operating conditions
- genetic algorithm
- fuzzy logic
- neural network
- bp neural network
- pso algorithm
- multi objective
- expert systems
- fault detection
- parameter settings
- electronic equipment
- inertia weight
- chemical process
- training data
- gas turbine
- industrial systems
- rbf neural network
- fault detection and diagnosis
- power transformers
- particle swarm optimization pso
- differential evolution
- monitoring and fault diagnosis
- analog circuits
- global optimization
- particle swarm optimization algorithm
- artificial neural networks
- multiple faults
- fault identification
- rotating machinery
- multi sensor information fusion
- condition monitoring
- power plant
- convergence speed
- ant colony optimization
- fuzzy inference system
- simulated annealing
- learning algorithm
- soft computing
- computational intelligence
- electrical power systems
- support vector