Graphical Model Based Approach for Fault Diagnosis of Wind Turbines.
Adel AlorainiMoamar Sayed MouchawehPublished in: ICMLA (2014)
Keyphrases
- graphical models
- wind turbine
- fault diagnosis
- belief propagation
- random variables
- wind power
- probabilistic model
- wind speed
- neural network
- probabilistic graphical models
- wind farm
- bayesian networks
- expert systems
- fault detection and diagnosis
- fault detection
- rbf neural network
- approximate inference
- power generation
- operating conditions
- bp neural network
- rotating machinery
- conditional independence
- electronic equipment
- fuzzy logic
- analog circuits
- power transformers
- monitoring and fault diagnosis
- power plant
- message passing
- conditional random fields
- fault identification
- factor graphs
- gas turbine
- condition monitoring
- chemical process
- computational intelligence
- genetic algorithm
- gaussian graphical models
- nonparametric belief propagation
- data mining