Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network.
Zhihao ChenJian CenJianbin XiongPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- convolutional neural network
- fault diagnosis
- neural network
- face detection
- non stationary
- expert systems
- fuzzy logic
- chemical process
- fault detection
- operating conditions
- electrical power systems
- gas turbine
- multi sensor information fusion
- industrial systems
- condition monitoring
- bp neural network
- power transformers
- fault detection and diagnosis
- failure diagnosis
- rbf neural network
- rotating machinery
- real time
- analog circuits
- fault detection and isolation
- electronic equipment
- soft computing methods
- artificial neural networks
- steam turbine
- machine learning