Fault Diagnosis for Power Transformers through Semi-Supervised Transfer Learning.
Weiyun MaoBengang WeiXiangyi XuLu ChenTianyi WuZhengrui PengChen RenPublished in: Sensors (2022)
Keyphrases
- power transformers
- transfer learning
- fault diagnosis
- semi supervised
- labeled data
- semi supervised learning
- unlabeled data
- active learning
- learning tasks
- neural network
- expert systems
- cross domain
- label information
- supervised learning
- domain adaptation
- condition monitoring
- fuzzy logic
- knowledge transfer
- fault detection
- pairwise
- operating conditions
- multiple faults
- monitoring and fault diagnosis
- labeled and unlabeled data
- unsupervised learning
- target domain
- chemical process
- transfer knowledge
- collaborative filtering
- multi sensor information fusion
- condition monitoring and assessment
- co training
- multi task
- class labels
- text categorization
- machine learning
- machine learning algorithms
- text classification
- prior knowledge
- learning algorithm
- information fusion
- training examples
- recommender systems
- reinforcement learning