A Lightweight Neural Network Based on GAF and ECA for Bearing Fault Diagnosis

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,...

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Bibliographic Details
Main Authors:	Xiaojiao Gu, Yuntao Xie, Yang Tian, Tianshun Liu
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Metals
Subjects:	machine learning fault diagnosis neural network efficient channel attention Gramian angular field
Online Access:	https://www.mdpi.com/2075-4701/13/4/822

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