Rolling Bearing Fault Diagnosis Method Based on Non-dimensionlity Reduction Attention Mechanism with Aggregate Residual Network

Rolling Bearing Fault Diagnosis Method Based on Non-dimensionlity Reduction Attention Mechanism with Aggregate Residual Network

Aimed at the difficulties of extracting fault features, poor model generalization, and low diagnostic accuracy under noisy environments in traditional bearing fault diagnosis algorithms, a fault diagnosis method, which combines a portable non-dimensionlity reduction attention mechanism with deep res...

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Bibliographic Details
Main Authors: Chuang LIU, Runfang HAO, Yongqiang CHENG, Wenheng YAN
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2022-09-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
fault diagnosis
residual network
non-dimensionality reduction attention
deep learning
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-1962.html

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