Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data.
Shilin SunWenyang HuYuekai LiuTianyang WangFulei ChuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- fault diagnosis
- bp neural network
- training data
- data analysis
- multi sensor information fusion
- wind turbine
- expert systems
- rbf neural network
- real time
- data mining techniques
- analog circuits
- learning algorithm
- neural network
- intelligent systems
- long term
- control system
- fault detection
- machine learning
- electronic equipment