Fault diagnosis of wind turbine drive train faults based on dynamical clustering.
Antoine ChammasEric DuviellaStéphane LecoeuchePublished in: CDC (2013)
Keyphrases
- fault diagnosis
- wind turbine
- fault detection
- expert systems
- neural network
- fault detection and diagnosis
- operating conditions
- clustering algorithm
- fuzzy logic
- multiple faults
- rbf neural network
- monitoring and fault diagnosis
- power transformers
- bp neural network
- fault detection and isolation
- fault identification
- analog circuits
- rotating machinery
- k means
- wind power
- gas turbine
- power plant
- electronic equipment
- condition monitoring
- electrical power systems
- multi sensor information fusion
- chemical process
- industrial systems
- long term
- wind farm
- power generation
- wind speed
- cluster analysis
- short term