Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing.
Yongchao ZhangJ. C. JiZhaohui RenQing NiFengshou GuKe FengKun YuJian GeZihao LeiZheng LiuPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- data sets
- fault diagnosis
- monitoring and fault diagnosis
- domain adaptation
- industrial systems
- expert systems
- fault detection
- neural network
- labeled data
- cross domain
- bp neural network
- fuzzy logic
- operating conditions
- analog circuits
- electronic equipment
- multiple sources
- intelligent systems
- multiple faults
- fault detection and diagnosis
- condition monitoring
- multi sensor information fusion
- chemical process
- gas turbine
- power transformers
- semi supervised
- genetic algorithm
- transfer learning
- learning algorithm
- target domain
- document classification
- supervised learning