Generative Transfer Learning for Intelligent Fault Diagnosis of the Wind Turbine Gearbox.
Jianwen GuoJiapeng WuShaohui ZhangJianyu LongWeidong ChenDiego CabreraChuan LiPublished in: Sensors (2020)
Keyphrases
- fault diagnosis
- transfer learning
- wind turbine
- industrial systems
- expert systems
- neural network
- wind power
- labeled data
- fault detection
- fuzzy logic
- active learning
- reinforcement learning
- semi supervised learning
- power plant
- condition monitoring
- cross domain
- bp neural network
- power generation
- collaborative filtering
- machine learning
- intelligent systems
- operating conditions
- transfer knowledge
- fault identification
- multi sensor information fusion
- text categorization
- machine learning algorithms
- wind speed
- chemical process
- monitoring and fault diagnosis
- rbf neural network
- target domain
- learning algorithm
- unsupervised learning
- text classification
- text mining
- vibration signal
- rough sets
- data sets
- supervised learning
- learning process