A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings.
Shenghao TangWei YouChangqing ShenJuanjuan ShiShuang LiZhongkui ZhuPublished in: ICDLT (2017)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- condition monitoring
- deep belief networks
- vibration signal
- fault detection
- neural network
- expert systems
- deep learning
- unsupervised learning
- fuzzy logic
- bp neural network
- operating conditions
- learning rate
- multi sensor information fusion
- rbf neural network
- sparse coding
- hierarchical models
- multiple faults
- restricted boltzmann machine
- machine learning
- generative model
- probabilistic model
- chemical process
- linear combination
- graphical models
- denoising
- feature space
- bayesian networks