A Generic Intelligent Bearing Fault Diagnosis System Using Convolutional Neural Networks With Transfer Learning.
Tao LuFanqianhui YuBaokun HanJinrui WangPublished in: IEEE Access (2020)
Keyphrases
- transfer learning
- fault diagnosis
- convolutional neural networks
- monitoring and fault diagnosis
- industrial systems
- expert systems
- knowledge transfer
- neural network
- fault detection
- labeled data
- fault detection and diagnosis
- fuzzy logic
- reinforcement learning
- analog circuits
- cross domain
- semi supervised learning
- electronic equipment
- machine learning
- collaborative filtering
- operating conditions
- text classification
- rotating machinery
- intelligent systems
- condition monitoring
- active learning
- machine learning algorithms
- multiple faults
- power transformers
- gas turbine
- domain specific
- transfer knowledge
- text mining
- text categorization
- target domain
- chemical process
- unlabeled data
- information extraction
- genetic algorithm
- learning algorithm
- similarity measure