A Data-Driven Fault Diagnosis Approach for Anemometers in Wind Farm.
Jiusi ZhangKuan LiHao LuoShen YinPublished in: IECON (2020)
Keyphrases
- fault diagnosis
- data driven
- wind farm
- wind turbine
- wind power
- neural network
- expert systems
- fault detection
- power plant
- chemical process
- fault detection and diagnosis
- analog circuits
- wind speed
- fuzzy logic
- operating conditions
- rotating machinery
- bp neural network
- gas turbine
- condition monitoring
- rbf neural network
- electronic equipment
- monitoring and fault diagnosis
- multi sensor information fusion
- power transformers
- short term
- multiple faults
- fault identification
- power generation
- real time
- evolutionary algorithm
- multi agent systems
- machine learning