A Novel Rotating Machinery Fault Diagnosis Method Based on Adaptive Deep Belief Network Structure and Dynamic Learning Rate Under Variable Working Conditions.
Peiming ShiPeng XueAoyun LiuDongying HanPublished in: IEEE Access (2021)
Keyphrases
- network structure
- learning rate
- dynamic networks
- rotating machinery
- network analysis
- convergence rate
- social networks
- complex networks
- learning algorithm
- link prediction
- convergence speed
- online social networks
- adaptive learning rate
- social network analysis
- small world
- fuzzy neural network
- fault detection
- fault diagnosis
- rapid convergence
- multilayer neural networks
- network size
- hidden layer
- real world networks
- weight vector
- activation function
- community structure
- artificial neural networks
- bp neural network algorithm