An adaptive fault detection model based on variational auto-encoders and unsupervised transfer learning.
Fengjun ShangFengyin SunJiayu WenPublished in: Appl. Soft Comput. (2024)
Keyphrases
- transfer learning
- fault detection
- manifold alignment
- learning tasks
- fault diagnosis
- knowledge transfer
- labeled data
- industrial processes
- fault identification
- semi supervised
- semi supervised learning
- cross domain
- active learning
- reinforcement learning
- machine learning
- supervised learning
- tennessee eastman
- collaborative filtering
- unsupervised learning
- text classification
- multi task
- transfer knowledge
- text categorization
- text mining
- machine learning algorithms
- image segmentation
- unlabeled data
- fuel cell
- robust fault detection
- power plant
- learning algorithm
- databases
- neural network
- data sources
- training data
- artificial intelligence
- transferring knowledge
- data mining