An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.
Jiaqi XieGuifu DuChangqing ShenNan ChenLiang ChenZhongkui ZhuPublished in: IEEE Access (2018)
Keyphrases
- end to end
- fault diagnosis
- monitoring and fault diagnosis
- scalable video
- neural network
- expert systems
- rbf neural network
- bp neural network
- operating conditions
- fuzzy logic
- multiple faults
- chemical process
- congestion control
- deep belief networks
- machine learning
- radial basis function
- training set
- multi sensor information fusion