Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis

Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis

Rotating machinery plays a vital role in modern mechanical systems. Effective state monitoring of a rotary machine is important to guarantee its safe operation and prevent accidents. Traditional bearing fault diagnosis techniques rely on manual feature extraction, which in turn relies on complex sig...

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Bibliographic Details
Main Authors: Changqing Shen, Jiaqi Xie, Dong Wang, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
deep belief network
fault diagnosis
hierarchical structure
feature learning
bearing
Online Access:https://www.mdpi.com/2076-3417/9/16/3374

Internet

https://www.mdpi.com/2076-3417/9/16/3374

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