A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis.
Xiaoyang LiuShulin LiuJiawei XiangRuixue SunPublished in: Inf. Sci. (2023)
Keyphrases
- learning strategies
- numerical simulations
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- theoretical analysis
- expert systems
- online learning
- active learning
- fault detection and diagnosis
- bp neural network
- power transformers
- fault detection
- fuzzy logic
- operating conditions
- rbf neural network
- multi sensor information fusion
- chemical process
- multiple faults
- temperature field
- rotating machinery
- lattice boltzmann
- condition monitoring
- gas turbine
- tennessee eastman
- structuring elements
- heat transfer
- decision trees
- analog circuits
- artificial neural networks
- training set
- fluid dynamics
- image processing