Method for Predicting RUL of Rolling Bearings under Different Operating Conditions Based on Transfer Learning and Few Labeled Data.
Wei SunHaowen WangZicheng LiuRonghai QuPublished in: Sensors (2023)
Keyphrases
- transfer learning
- labeled data
- unlabeled data
- semi supervised learning
- operating conditions
- semi supervised
- domain adaptation
- label information
- training data
- prior knowledge
- error rate
- machine learning
- co training
- learning tasks
- neural network
- learning algorithm
- active learning
- text classification
- labeled examples
- artificial intelligence
- cross domain
- reinforcement learning
- data points
- unsupervised learning
- collaborative filtering
- pairwise
- test data
- mathematical model
- knowledge transfer
- classification accuracy
- similarity measure
- supervised learning