MAB-DrNet: Bearing Fault Diagnosis Method Based on an Improved Dilated Convolutional Neural Network

MAB-DrNet: Bearing Fault Diagnosis Method Based on an Improved Dilated Convolutional Neural Network

Rolling bearing fault diagnosis is of great significance to the safe and reliable operation of manufacturing equipment. In the actual complex environment, the collected bearing signals usually contain a large amount of noises from the resonances of the environment and other components, resulting in...

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Bibliographic Details
Main Authors: Feiqing Zhang, Zhenyu Yin, Fulong Xu, Yue Li, Guangyuan Xu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
fault diagnosis
dilated convolution
deep learning
residual network
noisy environment
Online Access:https://www.mdpi.com/1424-8220/23/12/5532

Internet

https://www.mdpi.com/1424-8220/23/12/5532

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