Research on Intelligent Fault Diagnosis of Rolling Bearing Based on Improved Deep Residual Network

Research on Intelligent Fault Diagnosis of Rolling Bearing Based on Improved Deep Residual Network

Rolling bearings are the most fault-prone parts in rotating machinery. In order to find faults in time and reduce losses, this paper presents an intelligent diagnosis method for rolling bearings. At present, the deep residual network (RESNET) is the most widely used convolutional neural network (CNN...

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Bibliographic Details
Main Authors:	Xinyu Hao, Yuan Zheng, Li Lu, Hong Pan
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Applied Sciences
Subjects:	fault diagnosis improved deep residual network deep learning GAP
Online Access:	https://www.mdpi.com/2076-3417/11/22/10889

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