Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks.
Han LiuJianzhong ZhouYanhe XuYang ZhengXuanlin PengWei JiangPublished in: Neurocomputing (2018)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- condition monitoring
- unsupervised learning
- fault detection
- expert systems
- fuzzy logic
- bp neural network
- gas turbine
- fault detection and diagnosis
- fault identification
- operating conditions
- rbf neural network
- failure diagnosis
- multiple faults
- vibration signal
- rotating machinery
- analog circuits
- industrial systems
- chemical process
- multi sensor information fusion
- electronic equipment
- bp algorithm
- competitive learning
- fault detection and isolation
- soft computing methods
- fault tree
- tennessee eastman
- information fusion
- network structure
- complex systems
- steam turbine
- semi supervised
- knowledge base