A Lightweight Neural Network Based on GAF and ECA for Bearing Fault Diagnosis
A lightweight neural network fault diagnosis method based on Gramian angular field (GAF) feature map construction and efficient channel attention (ECA) optimization is presented herein to address the problem of the complex structure of traditional neural networks in bearing fault diagnosis. Firstly,...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Metals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4701/13/4/822 |