Bearing Fault Diagnosis Based on Improved Convolutional Deep Belief Network

Bearing Fault Diagnosis Based on Improved Convolutional Deep Belief Network

Mechanical equipment fault detection is critical in industrial applications. Based on vibration signal processing and analysis, the traditional fault diagnosis method relies on rich professional knowledge and artificial experience. Achieving accurate feature extraction and fault diagnosis is difficu...

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Bibliographic Details
Main Authors:	Shuangjie Liu, Jiaqi Xie, Changqing Shen, Xiaofeng Shang, Dong Wang, Zhongkui Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Applied Sciences
Subjects:	mechanical fault diagnosis bearing feature extraction convolutional deep belief network
Online Access:	https://www.mdpi.com/2076-3417/10/18/6359

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