Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds.
Pengfei LiangBin WangGuoqian JiangNa LiLijie ZhangPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- fault diagnosis
- wind turbine
- monitoring and fault diagnosis
- wind power
- expert systems
- neural network
- fuzzy logic
- wind farm
- fault detection
- bp neural network
- wind speed
- electronic equipment
- power generation
- unsupervised learning
- operating conditions
- fault detection and diagnosis
- power plant
- power transformers
- rotating machinery
- rbf neural network
- chemical process
- multiple faults
- gas turbine
- multi sensor information fusion
- analog circuits
- industrial systems
- condition monitoring
- fault isolation
- reactive power
- electrical power systems
- case based reasoning
- machine learning