Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network.
Gye-Bong JangJin-Young KimSung-Bae ChoPublished in: IEEE Access (2021)
Keyphrases
- rotating machinery
- fault diagnosis
- cross domain
- fault detection
- discriminative features
- neural network
- expert systems
- fuzzy logic
- transfer learning
- operating conditions
- knowledge transfer
- chemical process
- monitoring and fault diagnosis
- real time
- complex systems
- power plant
- text categorization
- case study
- genetic algorithm