Multi-scale convolutional network with channel attention mechanism for rolling bearing fault diagnosis

Author:

Huang Ya-Jing,Liao Ai-Hua,Hu Ding-Yu,Shi Wei,Zheng Shu-Bin

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference25 articles.

1. Trackside acoustic detection of axle bearing fault using wavelet domain moving beamforming method;Siyi;Applied Acoustics,2022

2. A comprehensive review on convolutional neural network in machine fault diagnosis;Jiao;Neurocomputing,2020

3. Deep learning enabled intelligent fault diagnosis: Overview and applications;Duan;J. Intell. Fuzzy Syst.,2018

4. Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis;Li;Measurement,2019

5. A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM;Xza;Measurement,2021

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