Unsupervised Deep Transfer Learning for Fault Diagnosis in Fog Radio Access Networks.
Wenbin WuMugen PengWenyun ChenShi YanPublished in: IEEE Internet Things J. (2020)
Keyphrases
- transfer learning
- fault diagnosis
- manifold alignment
- labeled data
- semi supervised
- neural network
- expert systems
- fault detection
- unsupervised learning
- semi supervised learning
- machine learning
- active learning
- cross domain
- knowledge transfer
- fault detection and diagnosis
- power transformers
- domain adaptation
- fuzzy logic
- reinforcement learning
- monitoring and fault diagnosis
- supervised learning
- text classification
- transfer knowledge
- target domain
- operating conditions
- text categorization
- gas turbine
- chemical process
- multiple faults
- rotating machinery
- analog circuits
- electronic equipment
- pairwise
- learning algorithm
- machine learning algorithms
- collaborative filtering
- power plant
- multi task
- information retrieval
- feature selection
- text mining
- data sets
- decision making
- data mining
- computational intelligence
- training data
- high dimensional