Identification of hydraulic turbine governor system parameters based on Bacterial Foraging Optimization Algorithm.
Pangao KouJianzhong ZhouChaoshun LiYaoyao HeHui HePublished in: ICNC (2010)
Keyphrases
- bacterial foraging optimization algorithm
- fault diagnosis
- parameter identification
- maximum likelihood
- parameter estimation
- fuzzy control
- data sets
- control system
- operating conditions
- real time
- swarm intelligence
- sensitivity analysis
- condition monitoring
- fine tuning
- control method
- parameter values
- neural network
- input data
- cost function
- multi objective
- artificial intelligence
- data mining