Wind turbine fault detection method based on deep adversarial unsupervised learning.
Jie SongXingang YangAiqiang PanMengyuan ZhangYan YangYidong ZhouPublished in: iSPEC (2023)
Keyphrases
- detection method
- unsupervised learning
- wind turbine
- fault diagnosis
- deep learning
- deep architectures
- fault detection
- wind speed
- wind power
- detection algorithm
- deep belief networks
- neural network
- supervised learning
- wind farm
- face detection
- power plant
- semi supervised
- multi agent
- wind energy
- electrical power
- feature detection
- power generation
- expert systems
- fuzzy logic
- machine learning
- object recognition
- short term
- artificial intelligence
- model selection
- dimensionality reduction
- region detection
- feature selection
- data mining
- expectation maximization