Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network.
Zhao ZhangXinyu LiLong WenLiang GaoYiping GaoPublished in: CASE (2019)
Keyphrases
- fault diagnosis
- transfer learning
- fault detection
- knowledge transfer
- neural network
- expert systems
- manifold alignment
- chemical process
- fault detection and diagnosis
- cross domain
- labeled data
- bp neural network
- transfer knowledge
- fuzzy logic
- semi supervised learning
- collaborative filtering
- multiple faults
- rotating machinery
- machine learning
- unsupervised learning
- semi supervised
- active learning
- gas turbine
- rbf neural network
- analog circuits
- power transformers
- text classification
- supervised learning
- multi sensor information fusion
- reinforcement learning
- multi task
- network structure
- machine learning algorithms
- unlabeled data
- learning algorithm
- electronic equipment
- monitoring and fault diagnosis
- data sets
- domain adaptation
- text categorization
- prior knowledge
- high dimensional
- decision trees
- knowledge base
- data mining