Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects.
Yu GuoJundong ZhangBin SunYongkang WangPublished in: Sensors (2023)
Keyphrases
- fault diagnosis
- transfer learning
- knowledge transfer
- neural network
- expert systems
- labeled data
- fault detection
- cross domain
- fuzzy logic
- reinforcement learning
- operating conditions
- chemical process
- machine learning
- multiple faults
- learning algorithm
- domain adaptation
- active learning
- monitoring and fault diagnosis
- fault detection and diagnosis
- semi supervised learning
- transfer knowledge
- gas turbine
- machine learning algorithms
- condition monitoring
- rotating machinery
- real world
- power transformers
- electronic equipment
- multi task
- collaborative filtering
- text categorization
- multi sensor information fusion
- target domain
- data sets
- genetic algorithm
- unlabeled data
- analog circuits
- text mining
- prior knowledge
- support vector
- artificial intelligence