Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery.
Zhuyun ChenGuolin HeJipu LiYixiao LiaoKonstantinos C. GrylliasWeihua LiPublished in: IEEE Trans. Instrum. Meas. (2020)
Keyphrases
- cross domain
- fault diagnosis
- transfer learning
- knowledge transfer
- multiple domains
- domain adaptation
- neural network
- fault detection
- expert systems
- fault detection and diagnosis
- bp neural network
- target domain
- chemical process
- gas turbine
- text categorization
- condition monitoring
- analog circuits
- power transformers
- electronic equipment
- fuzzy logic
- cross domain learning
- multiple faults
- rotating machinery
- monitoring and fault diagnosis
- multi sensor information fusion
- operating conditions
- source domain
- power plant
- learning tasks
- artificial neural networks
- data analysis