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An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.
Jiaqi Xie
Guifu Du
Changqing Shen
Nan Chen
Liang Chen
Zhongkui Zhu
Published in:
IEEE Access (2018)
Keyphrases
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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