Deep Spiking Residual Shrinkage Network for Bearing Fault Diagnosis.
Zongtang XuYumei MaZhenkuan PanXiaoyang ZhengPublished in: IEEE Trans. Cybern. (2024)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- neural network
- fault detection
- expert systems
- gas turbine
- analog circuits
- multiple faults
- power transformers
- spiking neural networks
- bp neural network
- chemical process
- condition monitoring
- rbf neural network
- operating conditions
- fuzzy logic
- failure diagnosis
- fault detection and diagnosis
- multi sensor information fusion
- electronic equipment
- electrical power systems
- spiking neurons
- power plant
- soft computing methods
- machine learning
- network parameters
- bp algorithm
- fault detection and isolation
- fault identification
- simulation model
- rotating machinery
- denoising
- tennessee eastman
- data mining