Rotating Machinery Fault Diagnosis Through a Transformer Convolution Network Subjected to Transfer Learning.
Xinglong PeiXiaoyang ZhengJinliang WuPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- fault diagnosis
- rotating machinery
- transfer learning
- fault detection
- power transformers
- neural network
- expert systems
- fault detection and diagnosis
- cross domain
- knowledge transfer
- condition monitoring
- fuzzy logic
- active learning
- labeled data
- collaborative filtering
- machine learning
- gas turbine
- chemical process
- reinforcement learning
- bp neural network
- multiple faults
- monitoring and fault diagnosis
- machine learning algorithms
- text categorization
- operating conditions
- analog circuits
- transfer knowledge
- learning algorithm
- power plant
- text classification
- support vector
- semi supervised learning
- artificial intelligence
- incipient fault
- data sets
- multi sensor information fusion
- network structure