Deep Residual Shrinkage Network With Time-Frequency Features For Bearing Fault Diagnosis.
Guoxuan MaJunnan ZhuoWei GaoJing ChenPublished in: ICSPCC (2022)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- expert systems
- neural network
- fault detection
- chemical process
- electronic equipment
- multiple faults
- network structure
- condition monitoring
- feature extraction
- fuzzy logic
- fault detection and diagnosis
- artificial intelligence
- failure diagnosis
- bp neural network
- feature set
- denoising
- feature vectors
- power transformers
- gas turbine
- frequency domain
- soft computing methods
- rotating machinery
- fault tree
- steam turbine
- knowledge base
- multi sensor information fusion