An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis

Effective machinery prognostics and health management play a crucial role in ensuring the safe and continuous operation of equipment, and satisfactory characteristics' expression of machine health status plays a key role in the ability to diagnose faults with high accuracy. At present, most met...

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Bibliographic Details
Main Authors: Jiaqi Xie, Guifu Du, Changqing Shen, Nan Chen, Liang Chen, Zhongkui Zhu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Bearing
health management
deep belief network
end-to-end model
Online Access:https://ieeexplore.ieee.org/document/8502755/

Internet

https://ieeexplore.ieee.org/document/8502755/

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