A multiscale convolution neural network for bearing fault diagnosis based on frequency division denoising under complex noise conditions

A multiscale convolution neural network for bearing fault diagnosis based on frequency division denoising under complex noise conditions

Abstract The condition of bearings has a significant impact on the healthy operation of mechanical equipment, which leads to a tremendous attention on fault diagnosis algorithms. However, due to the complex working environment and severe noise interference, training a robust bearing fault diagnosis...

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Bibliographic Details
Main Authors:	Youming Wang, Gongqing Cao
Format:	Article
Language:	English
Published:	Springer 2022-12-01
Series:	Complex & Intelligent Systems
Subjects:	Convolutional neural network Attention mechanism Frequency division Fault diagnosis Denoising
Online Access:	https://doi.org/10.1007/s40747-022-00925-0

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