A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series.
Wenqian JiangCheng ChengBeitong ZhouGuijun MaYe YuanPublished in: CoRR (2019)
Keyphrases
- fault diagnosis
- industrial systems
- gas turbine
- chemical process
- fault detection
- fault diagnostic
- neural network
- expert systems
- bp neural network
- rbf neural network
- industrial processes
- industrial applications
- operating conditions
- multiple faults
- power transformers
- monitoring and fault diagnosis
- fuzzy logic
- electronic equipment
- rotating machinery
- fault detection and isolation
- failure diagnosis
- condition monitoring
- electrical power systems
- non stationary
- analog circuits
- fault tree
- fault detection and diagnosis
- structuring elements
- tennessee eastman
- power plant
- soft computing methods
- fault identification
- simulation model
- autoregressive
- complex systems
- control system
- multi sensor information fusion