Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network.
You-Ren WangGuo-dong SunQi JinPublished in: Appl. Soft Comput. (2020)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- expert systems
- neural network
- operating conditions
- fuzzy logic
- bp neural network
- chemical process
- monitoring and fault diagnosis
- condition monitoring
- analog circuits
- power transformers
- fault detection and diagnosis
- failure diagnosis
- multiple faults
- rbf neural network
- industrial systems
- electronic equipment
- gas turbine
- multi sensor information fusion
- fault identification
- network parameters
- electrical power systems
- power plant
- fault diagnostic
- knowledge base